Jordi Soler1, Sebastian Gergel2, Cindy Klaus2, Stephan C Hammer2, Marc Garcia-Borràs1. 1. Institut de Química Computacional i Catàlisi (IQCC) and Departament de Química, Universitat de Girona, Carrer Maria Aurèlia Capmany 69, Girona 17003, Catalonia, Spain. 2. Chair of Organic Chemistry and Biocatalysis, Faculty of Chemistry, Bielefeld University, Universitätsstraße 25, 33615 Bielefeld, Germany.
Abstract
The aerobic oxidation of alkenes to carbonyls is an important and challenging transformation in synthesis. Recently, a new P450-based enzyme (aMOx) has been evolved in the laboratory to directly oxidize styrenes to their corresponding aldehydes with high activity and selectivity. The enzyme utilizes a heme-based, high-valent iron-oxo species as a catalytic oxidant that normally epoxidizes alkenes, similar to other catalysts. How the evolved aMOx enzyme suppresses the commonly preferred epoxidation and catalyzes direct carbonyl formation is currently not well understood. Here, we combine computational modelling together with mechanistic experiments to study the reaction mechanism and unravel the molecular basis behind the selectivity achieved by aMOx. Our results describe that although both pathways are energetically accessible diverging from a common covalent radical intermediate, intrinsic dynamic effects determine the strong preference for epoxidation. We discovered that aMOx overrides these intrinsic preferences by controlling the accessible conformations of the covalent radical intermediate. This disfavors epoxidation and facilitates the formation of a carbocation intermediate that generates the aldehyde product through a fast 1,2-hydride migration. Electrostatic preorganization of the enzyme active site also contributes to the stabilization of the carbocation intermediate. Computations predicted that the hydride migration is stereoselective due to the enzymatic conformational control over the intermediate species. These predictions were corroborated by experiments using deuterated styrene substrates, which proved that the hydride migration is cis- and enantioselective. Our results demonstrate that directed evolution tailored a highly specific active site that imposes strong steric control over key fleeting biocatalytic intermediates, which is essential for accessing the carbonyl forming pathway and preventing competing epoxidation.
The aerobic oxidation of alkenes to carbonyls is an important and challenging transformation in synthesis. Recently, a new P450-based enzyme (aMOx) has been evolved in the laboratory to directly oxidize styrenes to their corresponding aldehydes with high activity and selectivity. The enzyme utilizes a heme-based, high-valent iron-oxo species as a catalytic oxidant that normally epoxidizes alkenes, similar to other catalysts. How the evolved aMOx enzyme suppresses the commonly preferred epoxidation and catalyzes direct carbonyl formation is currently not well understood. Here, we combine computational modelling together with mechanistic experiments to study the reaction mechanism and unravel the molecular basis behind the selectivity achieved by aMOx. Our results describe that although both pathways are energetically accessible diverging from a common covalent radical intermediate, intrinsic dynamic effects determine the strong preference for epoxidation. We discovered that aMOx overrides these intrinsic preferences by controlling the accessible conformations of the covalent radical intermediate. This disfavors epoxidation and facilitates the formation of a carbocation intermediate that generates the aldehyde product through a fast 1,2-hydride migration. Electrostatic preorganization of the enzyme active site also contributes to the stabilization of the carbocation intermediate. Computations predicted that the hydride migration is stereoselective due to the enzymatic conformational control over the intermediate species. These predictions were corroborated by experiments using deuterated styrene substrates, which proved that the hydride migration is cis- and enantioselective. Our results demonstrate that directed evolution tailored a highly specific active site that imposes strong steric control over key fleeting biocatalytic intermediates, which is essential for accessing the carbonyl forming pathway and preventing competing epoxidation.
The aerobic oxidation of alkenes to the
corresponding carbonyl
compounds is an important but often challenging transformation in
organic chemistry.[1−3] The value of this oxidation reaction results from
the easy accessibility of alkenes from petroleum, renewable resources,
or well-established synthetic methods such as carbonyl olefination
and olefin metathesis. In addition, aldehydes and ketones are very
relevant functional groups in valuable molecules and crucial intermediates
in synthesis. Alkene to carbonyl oxidation is established by the palladium(II)-catalyzed
Wacker-Tsuji oxidation, yet, this reaction is in part limited to oxidizing
ethylene to acetaldehyde and 1-alkenes to methyl ketones.[1] Although significant efforts have been made to
extend Wacker-type oxidation to yield other types of carbonyl compounds,[1−3] efficient and selective aerobic alkene to carbonyl oxidations are
rare and sought after.Experiments and theory suggest that high-valent
metal-oxo species
can be exploited as catalytic oxidants to convert alkenes directly
to carbonyl compounds.[4−6] High-valent metal-oxo complexes are known in chemistry
and biology for oxidation chemistry;[7−10] however, these species typically epoxidize
alkenes. Established catalysts for alkene epoxidation via high-valent
metal-oxo complexes include Jacobsen’s manganese(III)salen
complexes,[11] synthetic metalloporphyrins,[12] biomimetic non-heme iron complexes,[13−15] and enzymes such as heme-dependent cytochrome P450 monooxygenases[16] and peroxygenases[17] or non-heme α-ketoglutarate-dependent dioxygenases.[18] The exact mechanism of metal-oxo-mediated alkene
epoxidation has long been controversial.[5,6,10,19−22] A currently widely accepted view is that epoxide formation proceeds
via an almost concerted reaction mechanism, potentially through an
extremely short lived radical intermediate (Scheme ). Support for a concerted nature of the
oxo transfer or a two-step mechanism in which the second step occurs
very fast comes from the retention of the stereochemistry in epoxidation
of cis-alkenes.[11,12,16,17] It is believed that
metal-oxo-mediated alkene to carbonyl oxidation proceeds from the
radical intermediate via an electron/hydride transfer process including
the formation of a carbocation species (Scheme ).[5,23] This proposed electron
transfer process is related to the carbocation formation in metal-oxo-mediated
oxidative rearrangements, for example, in pentalenolactone biosynthesis,
catalyzed by a P450 enzyme that includes an intramolecular electron
transfer.[24,25] Although direct alkene to carbonyl oxidation
is theoretically accessible through oxo transfer chemistry, carbonyl
products are only observed as minor by-products, if at all.[6,23] High-valent metal-oxo species have never been exploited for carbonyl
synthesis due to the lack of catalysts that suppress the strongly
favored epoxide formation.[26] The origin
of high chemoselectivity that favors epoxidation over carbonyl formation
is not completely understood. Recently, however, directed evolution
has been harnessed to generate a biocatalyst that outcompetes epoxidation.
A laboratory-evolved iron-heme P450 enzyme called anti-Markovnikov
oxygenase (aMOx) directly oxidizes alkenes to carbonyls with high
selectivity and activity (up to 94% carbonyl selectivity and up to
4500 total turnover numbers, TTN).[26] This
aMOx enzyme was evolved from a P450 monooxygenase of Labrenzia
aggregata (P450LA1), which possessed initial carbonyl
forming activity.[27] The physiological substrate
of P450LA1 is unknown, and this enzyme has been shown to
catalyze various reactions such as asymmetric sulfoxidation, sp3 C–H bond hydroxylation, and alkene epoxidation on
diverse compounds. A homolog of P450LA1 within the CYP116B
subfamily was found to catalyze aromatic C–H bond hydroxylation
in 2-hydroxyphenylacetic acid catabolism, which is the first demonstration
of a physiological substrate for an enzyme from the CYP116B subfamily.[28] The evolved aMOx enzyme is the first catalyst
to use metal-oxo species for selective alkene to carbonyl oxidation
and thus a good opportunity to study the origin of chemoselectivity
in this reaction.
Scheme 1
Iron-oxo-Mediated Alkene Oxidation by an Iron Porphyrin-Type
Catalyst
Iron-oxo-mediated alkene
oxidation
generally leads to the corresponding epoxide product. The proposed
catalytic cycles for P450-catalyzed alkene epoxidation (epoxide pathway,
purple) and anti-Markovnikov oxidation (carbonyl pathway, orange)
with styrene (1) as the model substrate start with the
formation of an iron-oxo complex, termed compound I (Cpd I). The first C–O bond formation (TS1) leads to
a short-lived radical intermediate (Int1) that directly
converts to the epoxide product (2) by a very fast second
C–O bond-forming step (TS2). These two C–O
bond-forming steps proceed most often in a stereospecific manner and
might occur stepwise (without epimerization when the shallow reactive
radical intermediate is formed) or in a concerted fashion. The alternative
stepwise anti-Markovnikov oxidation (carbonyl pathway) is proposed
to occur via an intramolecular electron transfer, yielding a highly
reactive carbocation intermediate (Int2). Subsequent
1,2-hydride migration (TS3) produces the carbonyl product,
aldehyde 3.
Iron-oxo-Mediated Alkene Oxidation by an Iron Porphyrin-Type
Catalyst
Iron-oxo-mediated alkene
oxidation
generally leads to the corresponding epoxide product. The proposed
catalytic cycles for P450-catalyzed alkene epoxidation (epoxide pathway,
purple) and anti-Markovnikov oxidation (carbonyl pathway, orange)
with styrene (1) as the model substrate start with the
formation of an iron-oxo complex, termed compound I (Cpd I). The first C–O bond formation (TS1) leads to
a short-lived radical intermediate (Int1) that directly
converts to the epoxide product (2) by a very fast second
C–O bond-forming step (TS2). These two C–O
bond-forming steps proceed most often in a stereospecific manner and
might occur stepwise (without epimerization when the shallow reactive
radical intermediate is formed) or in a concerted fashion. The alternative
stepwise anti-Markovnikov oxidation (carbonyl pathway) is proposed
to occur via an intramolecular electron transfer, yielding a highly
reactive carbocation intermediate (Int2). Subsequent
1,2-hydride migration (TS3) produces the carbonyl product,
aldehyde 3.As we will describe
below, iron-oxo-mediated alkene oxidation can
involve a short-lived radical intermediate that is generated with
a large excess of the kinetic energy (Figure ). This is not unusual and, in fact, common
to any intermediate or product derived from a high-energy transition
state (TS).[29] This excess energy originates
from potential energy that is in part transformed into vibrational
energy during the intermediate or product formation (Figure A). Because energy redistribution
via intramolecular and intermolecular processes is extremely fast
in solution,[30] excess vibrational energy
does not typically affect subsequent reactions of an intermediate.
Consequently, statistical thermodynamic treatments, such as transition
state theory, can be successfully applied to rationalize and predict
experimental observations. However, this is not the case if the lifetime
of a reactive intermediate is very short and reaches the femtosecond
to picosecond timescale. At this timescale, the reactivity of the
intermediate can compete with its excess energy redistribution and
thermal equilibration.[29] For reactive intermediates
with very short lifetimes, non-statistic distribution of energy can
affect their dynamic behavior and thus control the reactivity of these
species (Figure B).
Changes in reactivity can, for example, take place via selective vibrational
activation of one part of a molecule or by specific vibrations with
a displacement (momentum) that correlates with the geometry of a subsequent
transition state and its displacement vector corresponding to the
imaginary frequency (dynamic match). The reactivity
of energetically non-equilibrated intermediates (kinetically activated,
“hot” intermediates) has received significant
attention recently.[29,31] It has been shown that dynamic
effects and the amount of excess energy and how it is distributed
can control the reactivity of intermediates in solution,[32,33] in organometallic reactions,[34,35] and in enzymes.[36−38]
Figure 1
Activated
“hot” intermediates. Schematic comparison
of the behavior of two intermediates that are generated from the first
transition state (TS-1) with a large excess of the kinetic
energy. (A) High-energy second transition state, TS-2, implies a slow conversion of the intermediate. This scenario allows
thermal equilibration of the intermediate, loss of excess energy to
the surrounding solvent molecules, and intramolecular vibrational
energy redistribution. Transition state theory can be successfully
applied to predict reaction rates, intermediate lifetimes, and product
selectivities. (B) Low-energy second transition state, TS-2′ or TS-2″, implies a fast conversion of the intermediate.
At these short timescales, the reactivity of the intermediate can
compete with its excess energy redistribution and thermal equilibration.
Consequently, the intermediate is not thermally equilibrated and can
be termed as an activated “hot” intermediate. In such
a scenario, the dynamic behavior of the activated “hot”
intermediate influences its reactivity. Under dynamic control, the
reaction can lead to product B through TS-2′ (non-IRC
pathway) if there exists a coupling between the kinetic energy of
the intermediate and the modes that promote its subsequent reaction,
although a lower-energy pathway to product C through TS-2″ exists (lowest-energy IRC pathway).
Activated
“hot” intermediates. Schematic comparison
of the behavior of two intermediates that are generated from the first
transition state (TS-1) with a large excess of the kinetic
energy. (A) High-energy second transition state, TS-2, implies a slow conversion of the intermediate. This scenario allows
thermal equilibration of the intermediate, loss of excess energy to
the surrounding solvent molecules, and intramolecular vibrational
energy redistribution. Transition state theory can be successfully
applied to predict reaction rates, intermediate lifetimes, and product
selectivities. (B) Low-energy second transition state, TS-2′ or TS-2″, implies a fast conversion of the intermediate.
At these short timescales, the reactivity of the intermediate can
compete with its excess energy redistribution and thermal equilibration.
Consequently, the intermediate is not thermally equilibrated and can
be termed as an activated “hot” intermediate. In such
a scenario, the dynamic behavior of the activated “hot”
intermediate influences its reactivity. Under dynamic control, the
reaction can lead to product B through TS-2′ (non-IRC
pathway) if there exists a coupling between the kinetic energy of
the intermediate and the modes that promote its subsequent reaction,
although a lower-energy pathway to product C through TS-2″ exists (lowest-energy IRC pathway).Here, we show that the high chemoselectivity in
metal-oxo-mediated
alkene oxidation by iron porphyrin-type catalysts is a consequence
of the radical’s dynamic behavior in its kinetically (vibrational)
activated state. We further reveal how an evolved heme-dependent enzyme
overwrites this dynamically controlled process to generate carbonyls
instead of epoxides. Directed evolution of aMOx not only steered oxidation
activity toward acceptance of a non-natural substrate but enabled
control over the accessible conformations of the reactive intermediates
by preorganizing them to favor stereoselective carbonyl formation,
while disfavoring epoxidation. This conformational control is achieved
by confinement[39] in the active site of
the enzyme. Experiments with isotopically labeled substrates support
the computational findings and proposed reaction mechanism.
Results and Discussion
Exploration of the Intrinsic Oxidation Reaction Mechanism Using
Density Functional Theory Calculations on an Enzyme-free Computational
Truncated Model
To understand the origin of chemoselectivity
in iron-oxo-mediated alkene oxidation by iron porphyrin-type catalysts,
we first studied the intrinsic reaction mechanism using density functional
theory (DFT) calculations and a truncated model (Figure , see Supporting Information for computational details). This simplified model
includes the high-valent iron-oxo species coordinated to the porphyrin
pyrrole core and a methanethiolate moiety that mimics the axial cysteine
ligand in compound I (Cpd I). We used styrene as the model substrate
because this alkene is typically used in epoxidation reactions, and
it was also the substrate for evolving the aMOx enzyme that performs
chemoselective carbonyl formation. The energetically accessible spin
states (doublet, d; and quartet, q) of the catalytic iron species
have been considered and are discussed if necessary (see SI for details).[10,40]
Figure 2
Enzyme-free
model DFT calculations. (A) DFT-calculated competing
reaction pathways for styrene (1) epoxidation (purple
pathway) and carbonyl formation (orange pathway) catalyzed by the
iron-oxo heme enzyme-free computational model. Relative Gibbs energies
(ΔG) and electronic energies (ΔE, in parenthesis) are reported, in blue for the doublet
electronic state (d) and in green for the quartet electronic state
(q). Lowest-energy DFT-optimized key transition state geometries are
shown. See Figure S1 for additional details
on the intrinsic mechanisms. (B) Conformational analysis of TS1. (C) Lowest-energy DFT-optimized structures of key covalent
radical and carbocation intermediates (Int1 and Int2, respectively). Energies, distances, angles, and spin
density values are given in kcal·mol–1, angstroms
(Å), degrees (°), and atomic units (a.u.), respectively.
Enzyme-free
model DFT calculations. (A) DFT-calculated competing
reaction pathways for styrene (1) epoxidation (purple
pathway) and carbonyl formation (orange pathway) catalyzed by the
iron-oxo heme enzyme-free computational model. Relative Gibbs energies
(ΔG) and electronic energies (ΔE, in parenthesis) are reported, in blue for the doublet
electronic state (d) and in green for the quartet electronic state
(q). Lowest-energy DFT-optimized key transition state geometries are
shown. See Figure S1 for additional details
on the intrinsic mechanisms. (B) Conformational analysis of TS1. (C) Lowest-energy DFT-optimized structures of key covalent
radical and carbocation intermediates (Int1 and Int2, respectively). Energies, distances, angles, and spin
density values are given in kcal·mol–1, angstroms
(Å), degrees (°), and atomic units (a.u.), respectively.As styrenes are generally epoxidized by high-valent
iron-oxo species,[11−17] one might expect to find significantly lower-energy barriers for
epoxidation than for the competing carbonyl pathway. This would be
in line with transition state theory and relate product selectivities
to differences in activation barriers. However, the calculated reaction
mechanism for iron-oxo-mediated styrene oxidation revealed that the
carbonyl pathway is not only energetically accessible but even slightly
preferred over epoxidation (Figures A, and S1), although exhibiting
small energy differences that are in the accuracy limit of the DFT
methodology used.[41] Calculations describe
that the formation of the first C–O bond is the shared rate-limiting
step for both epoxidation and carbonyl pathways (TS1,
ΔG‡ = 10.9 and 11.0 kcal·mol–1 in the quartet and doublet states, respectively).
Different conformers evaluated for TS1 revealed no significant
energy differences (see Figure B). Intrinsic reaction coordinate (IRC) calculations (see Supporting Information) describe that TS1 in the doublet electronic state directly leads to the epoxide product
via formation of the second C–O bond in an asynchronous but
concerted manner, while quartet TS1 forms a covalent
radical intermediate (Int1). The generated radical intermediate
can either lead to the epoxide product via a low-energy transition
state (TS2, ΔG‡ = 2.7 kcal·mol–1) or to the carbonyl product
in an almost barrierless pathway. The latter involves the formation
of a covalent carbocation intermediate (Int2), that is,
ΔΔG = 0.8 kcal·mol–1 higher in energy (quartet) and −3.8 kcal·mol–1 more stable (doublet) with respect to the radical intermediate (Figures C and S1). The formation of this key carbocation intermediate
is triggered by a conformational change, the rotation of the benzyl
group of the substrate, that enables stabilization of the benzylic
carbocation via resonance with the aromatic ring and hyperconjugation
with the former vinylic α-C–H bonds (Figures C, and S1–S3). Within this conformation, the lone pairs of
the oxygen atom (2p orbitals) can stabilize the empty p orbital of
the carbocation through a n → p interaction. Additionally, a C–H···O interaction
can also be established that stabilizes the positive charge partially
delocalized on the aromatic ring by resonance. In this optimal conformation,
the α-hydrogen is well aligned with the empty p-orbital of the
benzylic carbocation for an effective 1,2-migration. The carbonyl
product 3 can be generated in either spin state by barrierless
hydride migration (TS3) from carbocation Int2.Relaxed scan calculations along the benzyl rotation coordinate
were used to study the geometric distortion required to convert Int1 to an Int2-like geometry (from ∠O–C1–C2–C(Ph)
ca. −90° to ca. 0°, respectively; see Figure S2). These calculations indicated that
this conformational change is energetically feasible (ca. 3.0 kcal·mol–1 in electronic energy, ΔE)
and that the electron reorganization is thermodynamically favorable,
once the rotation has occurred (∠O–C1–C2–C(Ph)
ca. 0°, ΔE ca. −0.7 kcal·mol–1 from radical to carbocation). Consequently, the proposed
intramolecular electron transfer from the radical intermediate Int1 to generate the carbocation Int2 can be
described as a conformationally-gated process and can energetically
outcompete the epoxide forming TS2 (ΔE‡ = 3.4 kcal·mol–1). This
process is assumed to be a fast inner sphere intramolecular electron
rearrangement, once the geometry for the carbocation formation is
reached, in analogy to the intermolecular electron transfer in pentalenolactone
biosynthesis.[24,25] This process is found to involve
an inversion of the frontier molecular orbitals, where the electron
from the α-HOMO (highest occupied molecular orbital) in the
quartet radical intermediate moves to the energetically accessible
α-LUMO+1 (lowest unoccupied molecular orbital, see Figure S3). Once formed, the carbocation intermediate Int2 in the quartet electronic state can access the lower-energy
doublet Int2 through a minimum energy crossing point
(MECP)[42] that is energetically and geometrically
very similar to the quartet Int2 optimized structure
(Figure S4). Our calculations showed that
polar effects are rather important in order to stabilize the carbocation
intermediate Int2. Gas phase DFT model calculations indicated
that the optimized doublet Int2(gas phase) is ΔG = +0.2 kcal·mol–1 higher in energy than radical intermediate Int1(gas phase) and that the carbocation
intermediate in the quartet electronic state cannot be optimized as
a minimum on the gas phase potential energy surface (PES) (see Figure S27 in the Supporting Information). Finally,
DFT calculations also showed that the presence of a precisely positioned
water molecule hydrogen-bonding with the O-atom of the intermediate
favors the relative stabilization of the carbocation with respect
to the radical intermediate (Figures S8 and S9).DFT calculations described
a flat region of the PES, with the carbonyl
formation being slightly energetically favored when diverging from
quartet TS1. The lifetime of the radical intermediate
predicted by transition state theory for the epoxidation pathway (TS2, ΔG‡ = 2.7 kcal·mol–1) is estimated to be t1/2 ≈ 1.06 × 10–11 s (10 600 fs).
Considering a first-order reaction, a rate constant of K = 6.52 × 1010 s–1 can be derived
from the Eyring equation. This is more than one order of magnitude
slower than the predicted rate constant for carbonyl formation (K = 2.67 × 1012 s–1) via TS3 from Int1 (quartet electronic state, ΔG‡ = 0.5 kcal·mol–1). According to transition state theory, such reactions should preferentially
lead to carbonyl products instead of the experimentally observed epoxides
(Figure A). This reveals
that thermostatistical methods such as transition state theory cannot
completely explain why metal-oxo-mediated iron porphyrin- or P450-catalyzed
alkene oxidations favor epoxidation, while carbonyl formation is rarely
observed as a side product, if at all.[4,23]We hypothesized
that non-statistical effects and the dynamic behavior
of the radical intermediate could determine the chemoselectivity in
this oxo transfer reaction. This idea is supported by the very short
lifetime predicted for this radical (in the picosecond timescale),
which can thus compete with redistribution of an excess of the kinetic
energy. In this particular case, the radical intermediate is generated
from TS1 with a high amount of kinetic energy (ΔΔG = 22.1 kcal·mol–1, see Figure A), rendering it
a kinetically activated (“hot”) intermediate (Figure ). Analysis of the
momentum vectors corresponding to the negative eigenvalues of TS1 and TS2 already indicate a strong coupling
and “dynamic match” between both transition
states (Figures A,
and S5), suggesting that kinetic activation
and resulting non-statistic dynamic behavior of the radical intermediate
could strongly favor three-membered ring formation.
Figure 3
Quasiclassical direct
dynamic trajectories (A) Enzyme-free DFT-optimized
transition state structures TS1-q (used as the starting
point for direct QCT simulations) and TS2-q. Yellow arrows
are the displacement vectors associated with the transition-state
structure imaginary frequency. (B) Qualitative three-dimensional energy
landscape where different possible pathways are highlighted: dynamically
preferred epoxidation pathway highlighted as a purple dashed line,
the thermodynamically preferred carbonyl pathway as an orange dashed
line, and an example of recrossing as a green dashed line. (C) Selected
snapshots along a quartet quasiclassical trajectory from the reactant
complex to styrene oxide formation. (D) Time evolution of most relevant
distances along the quasiclassical trajectory shown in (C). Energies,
distances, and time are given in kcal·mol–1, Angstroms (Å), and femtoseconds (fs), respectively. See also Figure S6 for additional details.
Quasiclassical direct
dynamic trajectories (A) Enzyme-free DFT-optimized
transition state structures TS1-q (used as the starting
point for direct QCT simulations) and TS2-q. Yellow arrows
are the displacement vectors associated with the transition-state
structure imaginary frequency. (B) Qualitative three-dimensional energy
landscape where different possible pathways are highlighted: dynamically
preferred epoxidation pathway highlighted as a purple dashed line,
the thermodynamically preferred carbonyl pathway as an orange dashed
line, and an example of recrossing as a green dashed line. (C) Selected
snapshots along a quartet quasiclassical trajectory from the reactant
complex to styrene oxide formation. (D) Time evolution of most relevant
distances along the quasiclassical trajectory shown in (C). Energies,
distances, and time are given in kcal·mol–1, Angstroms (Å), and femtoseconds (fs), respectively. See also Figure S6 for additional details.
Quasiclassical Direct Dynamic Trajectory Simulations
To investigate the influence of a non-equally distributed excess
of the kinetic energy on the chemoselectivity of the reaction (i.e.,
nonstatistical effects), we used direct quasiclassical trajectories
(QCTs) to study the reaction dynamics.[29,35,43] QCTs allow us to explicitly consider the atomic motions
during a chemical reaction, which could describe the formation of
nonstatistical (activated, “hot”) intermediates without
vibrational energy redistribution and the possible existence of non-intrinsic
reaction pathways (non-IRC, Figure B). Non-IRC pathways can lead to products that do not
correspond to those expected from the lowest-energy pathway (i.e.,
IRC). QCTs have been previously employed to comprehend selectivities
in competing reactions that bifurcate after a shared transition state,
to characterize the formation of shallow entropic intermediates along
reaction pathways or to study the dynamic behavior of reactive intermeditates.[29,35,38,43−47] Here, QCTs were applied in order to identify potential non-statistical
dynamic effects that might influence the lifetime and/or the behavior
of the reactive radical intermediate.Using our computational
truncated model, QCTs were obtained (Figure ). Direct QCTs were propagated forward and
backward for 1200 fs (600 fs in each direction), starting from optimized TS1 structures for each energetically accessible spin state
(20 trajectories for each electronic state, a total of 40 trajectories.
See SI for computational details). Please note that a larger number
of QCTs would be required in order to statistically and quantitatively
predict the product distributions.[35] None
of the 40 trajectories accessed the carbonyl product or the carbocation
intermediate (Figure S6). Instead, 7 resulted
in non-reactive recrossing events (5 doublet + 2 quartet), 7 lead
to the formation of the radical intermediate (quartet), and 26 trajectories
(15 doublet + 11 quartet) generated the epoxide product (see Figure S6).An example of a reactive trajectory
on the quartet electronic state
for epoxidation is depicted in Figure C,D (see Figure S6 for doublet
electronic state results). From QCT simulations, the lifetime of the
intermediate, defined as the time gap between C1–O and C2–O
bond formation (see Table S2), is estimated
to be ca. 265 fs for the quartet electronic state (ca. 92 fs in the
doublet state).Houk and co-workers proposed a timing criterion
to distinguish
between dynamically concerted and dynamically stepwise mechanisms.[43,48] According to this criterion, a mechanism is considered as dynamically
concerted if all the bonding changes are completed within less than
a 60 fs timegap, while it is considered as dynamically stepwise otherwise.
This dynamic criterion is complementary to the common definition of
concerted versus stepwise mechanisms, based on the shape of the PES
(having one or two potential energy barriers). In this framework,
QCT simulations suggest that the epoxidation pathway (and the carbonyl
formation pathway) in both the quartet and doublet electronic states
can be classified as dynamically stepwise mechanisms, although they
are potential-energy stepwise and concerted, respectively.Geometrically
concerted and asynchronous but dynamically stepwise
reactions often involve the formation of entropic intermediates.[43] Entropic intermediates are an ensemble of dynamical
structures that reside in a shallow free-energy well, which correspond
to a relatively flat region on the PES but not to local minima and
thus cannot be optimized using DFT calculations when considering only
the potential energy and not the free energy.[49] These entropic intermediates must decrease their entropy to exit
from this region of the PES. Considering this, QCT simulations are
suggesting the existence of an entropic intermediate formed along
the doublet PES, after TS1 and prior epoxide product
formation, although an intermediate structure could not be optimized
as a minimum on the PES (Figure A). This indicates that the carbonyl forming pathway
could also be accessible from the doublet electronic state by a non-intrinsic
motion where the reaction occurs through geometries not part of the
IRC pathway.[35] When this entropic intermediate
is formed, it could give access to the carbocation intermediate if
properly stabilized by a strong geometric control (see the results
for the calculated enzymatic reaction in next sections).While
statistical transition state theory, based on static DFT
calculations, failed to sufficiently explain the experimentally observed
chemoselectivity, QCTs indicated the strong preference for epoxidation
due to dynamic effects. These simulations revealed that the direction
of the atomic motions and momentum acquired right after surpassing TS1 (formation of the first C1–O bond) are strongly
coupled to the atomic motions required to overcome the low-energy
barrier in TS2 (epoxide formation) (Figure C,D). QCTs showed that the
kinetic energy acquired by the radical intermediate formed from TS1 largely influences its lifetime and dynamically primes
the reaction for three-membered ring formation, explaining the origin
of the observed high chemoselectivity for epoxidation. Simulations
also indicated that this dynamic preference for epoxidation is present,
whether there is a small potential energy barrier (quartet electronic
state, TS2) or not (doublet electronic state).This “dynamic match” between the TS1 and TS2 reaction coordinates favors epoxidation
and is illustrated in Figure B through a qualitative PES. The preference for epoxidation
caused by the intrinsic dynamic behavior following TS1 could in fact explain the preferred alkene epoxidation for many
catalysts[11−18] that utilize high-valent iron-oxo (or metal-oxo) species as the
oxidant. In contrast, the carbonyl pathway requires a specific C1–C2
bond rotation to efficiently stabilize the carbocation intermediate
and to allow a 1,2-hydride migration. Due to stereoelectronic effects
described above, carbonyl formation depends on very specific conformations
of the reactive intermediates that are not dynamically supported.
However, how did the directed enzyme evolution reverse the chemoselectivity
in this reaction toward carbonyl formation?An important conclusion
from DFT calculations and QCTs using a
truncated model is that many natural enzymes, including cytochrome
P450 monooxygenases[16] and peroxygenases,[17] achieve selective alkene epoxidation because
they exploit the intrinsic preference dictated by the existing “dynamic match” between the two consecutive, dynamically
stepwise, C–O bond formations. Consequently, an enzyme (or
a catalyst) that aims to produce carbonyls must overwrite this intrinsic
dynamic preference, potentially by allowing the kinetically activated
radical intermediate to reach thermal equilibration or by imposing
geometric constraints to control the accessible conformations of the
intermediate species and transition states.
Computational Modelling of the Enzyme–Substrate Bound
Complex
The carbonyl-selective biocatalyst (aMOx) was evolved
in ten rounds of directed evolution from a cytochrome P450 enzyme
(P450LA1).[26] While P450LA1 oxidized styrene with low activity (100 TTN) and 55% epoxide
selectivity, aMOx oxidized styrenes with high activity (up to 4500
TTN) and chemoselectivity (up to 94% carbonyl product). During laboratory
evolution, 12 mutations were introduced. Most of these mutations contribute
to change chemoselectivity (Figure A), and the mutations scatter over the heme domain
of the protein.
Figure 4
Impact of the directed evolution experiment on the enzyme
active
site. (A) Homology model was generated for wildtype P450LA1 (56% sequence identity with the template, PDB: 6GII) and aMOx (12 mutations
with respect to the wildtype). The homology model was refined by extensive
molecular dynamics (MD) simulations (5.0 μs of the accumulated
simulation time). Positions mutated along directed evolution are shown
as orange balls and stick representation. The active site accessible
volume is represented by a yellow surface in the most populated cluster
characterized from holo state MD simulations of wildtype
P450LA1 and aMOx enzymes (see also Figure S7). (B) Overlay of 10 snapshots of reactive binding
modes characterized from restrained-MD simulations of the bound styrene
in wildtype P450LA1 and aMOx enzymes (snapshots were arbitrarily
selected from intervals of 50 ns from 500 ns restrained-MD trajectories).
Green- and pink-colored styrene substrates represent si face (R-epoxide) and re face (S-epoxide) binding poses, respectively (see also Figures S10 and S11). Relevant active site residues are shown in sticks, and mutated
positions are highlighted in orange. (C) Preferential NACs of styrene
bound in wildtype P450LA1 and aMOx characterized from restrained-MD
simulations. (D) Representative binding mode explored by the covalent
intermediate Int1 when formed in wildtype P450LA1 and aMOx active sites observed from MD simulations (see also Figure S13). (E) Enantioselectivity in the epoxidation
as a function of directed evolution. Interestingly, the enantioselectivity
of the epoxidation changes during evolution, stepwise in analogy to
the aMOx selectivity. While wildtype P450LA1 generates
preferably the (R)-enantiomer (60:40 of R/S), epoxidation gets more and more (S)-selective in the course of directed evolution and reaches a ratio
of 14:86 (R/S) for aMOx.
Impact of the directed evolution experiment on the enzyme
active
site. (A) Homology model was generated for wildtype P450LA1 (56% sequence identity with the template, PDB: 6GII) and aMOx (12 mutations
with respect to the wildtype). The homology model was refined by extensive
molecular dynamics (MD) simulations (5.0 μs of the accumulated
simulation time). Positions mutated along directed evolution are shown
as orange balls and stick representation. The active site accessible
volume is represented by a yellow surface in the most populated cluster
characterized from holo state MD simulations of wildtype
P450LA1 and aMOx enzymes (see also Figure S7). (B) Overlay of 10 snapshots of reactive binding
modes characterized from restrained-MD simulations of the bound styrene
in wildtype P450LA1 and aMOx enzymes (snapshots were arbitrarily
selected from intervals of 50 ns from 500 ns restrained-MD trajectories).
Green- and pink-colored styrene substrates represent si face (R-epoxide) and re face (S-epoxide) binding poses, respectively (see also Figures S10 and S11). Relevant active site residues are shown in sticks, and mutated
positions are highlighted in orange. (C) Preferential NACs of styrene
bound in wildtype P450LA1 and aMOx characterized from restrained-MD
simulations. (D) Representative binding mode explored by the covalent
intermediate Int1 when formed in wildtype P450LA1 and aMOx active sites observed from MD simulations (see also Figure S13). (E) Enantioselectivity in the epoxidation
as a function of directed evolution. Interestingly, the enantioselectivity
of the epoxidation changes during evolution, stepwise in analogy to
the aMOx selectivity. While wildtype P450LA1 generates
preferably the (R)-enantiomer (60:40 of R/S), epoxidation gets more and more (S)-selective in the course of directed evolution and reaches a ratio
of 14:86 (R/S) for aMOx.To understand how aMOx controls chemoselectivity,
we computationally
modeled both wildtype P450LA1, the evolved aMOx variant
and also the intermediate variant P7 obtained in the 4th round of the laboratory evolution.[26] Since
no protein crystal structure is available for P450LA1,
computational homology models were generated for all the studied enzymes
based on a recently solved structure of P450TT (PDB: 6GII) that has 56% of
sequence identity for the heme domain (see SI for details). The models
were further refined by performing long-timescale molecular dynamics
(MD) simulations in the holo state (5 replicas of
1.0 μs each, a total of 5.0 μs of the accumulated simulation
time). Analysis and comparison of wildtype P450LA1 and
aMOx active sites revealed that the introduced mutations completely
reshaped and narrowed the substrate binding pocket (Figures A, and S7). The introduced mutations generated a confined environment
that largely reduced the accessible styrene substrate conformations,
as confirmed by substrate-bound simulations (Figures B, and S10 and S11). Docking calculations were performed on
the most representative structures obtained from holo state MD simulations after clustering analysis based on protein
backbone RMSD, for wildtype P450LA1, aMOx and P7 enzymes.
Docking predictions were then used as starting points for extensive
restrained-MD simulations, in which the distance between the center
of mass of the alkene in styrene (defined by C1 and C2 atoms) and
the oxygen atom from Cpd I was kept restrained during the MD simulation
(5 replicas of 500 ns each, a total of 2,500 ns of the restrained-MD
simulation time for each system, see computational details). This
allowed us to explore catalytically relevant binding poses, where
the substrate arranges in near attack conformations (NACs) to carry
out the oxidation reaction, largely refining the docking predictions
and preventing undesired unbinding events during the simulations.
These simulations showed that P450LA1 can orient styrene
toward the iron-oxo species, exposing both enantiotopic faces (re and si face), with a preference for si face exposure (Figures B,C and S10). In contrast,
aMOx binds styrene in a reactive mode that preferentially exposes
the re face of the alkene (Figures B,C and S11).
Consequently, restrained-MD simulations qualitatively predict an (R)-selective epoxide formation from the P450LA1 wildtype, while the epoxide formation as a side product in the aMOx
variant is predicted to be (S)-selective due to the
reshaped active site that reaccommodates the styrene substrate and
preorganizes it for a selective oxidation.An intermediate scenario
is found for the P7 variant, in which
styrene can effectively explore catalytically relevant binding modes
where the re face of the alkene is exposed to the
iron-oxo species more frequently than in the wildtype (Figure S12). This observation is in line with
the shift in the epoxidation selectivity observed along the evolutionary
pathway due to the active site reshaping.To find support for
the computationally identified reshaping of
the active site and its impact on the preferential substrate binding
and enzyme selectivity, we experimentally analyzed the enantioselectivity
in the alkene epoxidation reaction along the course of the directed
evolution pathway (Figure E). The P450LA1 wildtype exhibits a slight preference
for the formation of the (R)-epoxide enantiomer (60:40 R/S), which qualitatively agrees with the
reactive binding modes characterized from computational modeling.
Interestingly, the enantiomeric ratio gradually increased toward (S)-epoxide formation during evolution. Although the evolved
aMOx enzyme generated the epoxide only in low amounts, this byproduct
is obtained with high (S)-enantioselectivity (Figure E). Formation of
the (S)-epoxide with aMOx is consistent with the
preferred re face attack observed computationally.
This gradual increase in enantioselectivity during directed evolution
supports the more restricted reactive binding modes of styrene observed
in the computational models for the final evolved aMOx variant. Optimized
substrate binding is also supported by UV/Vis spectroscopy, which
revealed a 1.4-fold smaller dissociation constant between styrene
and aMOx, compared to the P450LA1 wildtype (Figure S36). We also found an increase in the
coupling efficiency from 6.5 to 26% during enzyme evolution, which
supports an optimized substrate binding (Figure S38). As hydrogen peroxide formation is not observed in significant
amounts, uncoupling might proceed via the oxidase shunt rather than
the peroxide shunt. The kinetic parameters for both enzyme variants
showed a 1.6-fold decrease in KM and 6.8-fold
increase in kcat, as a result of directed
evolution (Figure S37). The evolved aMOx
enzyme operates with a catalytic efficiency of 2.0 × 103 M–1 s–1, which is an order of
magnitude higher than that of the P450LA1 wildtype and
in the range of the average efficiencies of natural enzymes (103 to 106 M–1 s–1).[50] Taking together, experimental observations
and computational modeling describe that directed evolution increased
the confinement in the active site and restricted the accessible,
catalytically relevant binding modes of the substrate. This suggests
that the accessible conformations of the radical and carbocation intermediates
involved in the reaction may also be limited in the more evolved active
sites (Figure D).
Computational Modeling of the Enzymatic Reaction Mechanisms
Using QM/MM Calculations
We hypothesized that restricting
the accessible conformations of the intermediates could strongly influence
their reactivity and the chemoselectivity in the oxo–transfer
reaction. Thus, we used hybrid quantum mechanics/molecular mechanics
calculations (QM/MM)[51] to model the competing
oxidation pathways occurring in both enzymes. Representative structures
of the covalent intermediates formed in wildtype P450LA1 and aMOx enzymes have been used as the starting point for QM/MM
calculations (see Supporting Information for details). These structures were obtained from short MD trajectories
(100 ns) with the covalent intermediate bound in wildtype P450LA1 and aMOx actives sites (Figure D). Initial models for intermediate-bound
MD simulations were built from styrene-bound preferential NACs characterized
from restrained-MD simulations (Figure C).In the P450LA1-catalyzed system,
the preferential NAC of the substrate corresponds to the si face ((R)-epoxide forming) binding mode of the
styrene substrate (Figure C). The alternative re face binding mode
of styrene, which is accessible in wildtype P450LA1, has
also been considered in the QM/MM modeling, finding similar trends
(see SI Figure S14).[52] The computed QM/MM reaction profile for the P450LA1-catalyzed reaction (Figure ) compares well to the DFT-modeled enzyme-free truncated model
system (Figure ),
with the formation of the first C1–O bond (LA1-TS1) being the rate-limiting step in both doublet and quartet electronic
states (Figure A).
Interestingly and in contrast to the truncated model system, the radical
intermediate (LA1-Int1) can be optimized as a minimum
on the PES in both electronic states. This indicates that confinement
favors the stabilization of the radical species from a potential energy
perspective (Figure B). Once formed, the radical intermediate LA1-Int1 can
lead to the epoxide product through a low-energy transition state
(LA1-TS2, ΔG‡ = 2.0 kcal·mol–1) in the quartet state and
through a barrierless step in the doublet state (Figure C). In comparison, the carbonyl
pathway is also accessible from radical LA1-Int1 in both
electronic states, where carbocation intermediate LA1-Int2 can be formed slightly downhill after a geometric rearrangement,
similar to the enzyme-free model, leading to the generation of the
carbonyl product (3) through a barrierless transition
state (LA1-TS3, see Figure B,C). Due to the steric constraints imposed
by the active site cavity, the optimized radical LA1-Int1 and carbocation LA1-Int2 intermediates have the phenyl
ring occupying the same position in the enzyme active site. The main
geometric difference between these two intermediates is the rotation
of the methylene group covalently attached to the O-atom, which ensures effective stabilization of the carbocation intermediate,
as described above (Figure B). The geometric change required to distort LA1-Int1 into a LA1-Int2-like geometry has been explored using
relaxed scan calculations (Figure S18),
which indicated that this geometric rearrangement is very low in energy
(ΔE ca. 3.0 kcal·mol–1), similar to what is observed for the enzyme-free model.
Figure 5
QM/MM calculations
on the P450LA1-catalyzed reaction
pathways. (A) QM/MM-calculated reaction mechanism for the (S)-selective epoxidation and carbonyl formation pathways
of styrene catalyzed by P450LA1 (see also Figure S15). A representative snapshot from intermediate-bound
MD simulations with styrene in the preferred reactive si face binding pose is used as the starting point (see Figure D). Relative Gibbs energies
and electronic energies (ΔG and ΔE, respectively) are shown in blue for the doublet (d) electronic
state and green for the quartet (q). Lowest-energy QM/MM-optimized
structures for key (B) intermediates and (C) transition states are
shown. Space-filling representations for key residues are used to
highlight important steric constraints occurring in the active site.
Energies, distances, angles, and spin density values are given in
kcal·mol–1, angstroms (Å), degrees (°),
and a.u., respectively. The QM/MM-calculated mechanism based on a re face NAC of styrene in the P450LA1 active
site is reported in Figure S14.
QM/MM calculations
on the P450LA1-catalyzed reaction
pathways. (A) QM/MM-calculated reaction mechanism for the (S)-selective epoxidation and carbonyl formation pathways
of styrene catalyzed by P450LA1 (see also Figure S15). A representative snapshot from intermediate-bound
MD simulations with styrene in the preferred reactive si face binding pose is used as the starting point (see Figure D). Relative Gibbs energies
and electronic energies (ΔG and ΔE, respectively) are shown in blue for the doublet (d) electronic
state and green for the quartet (q). Lowest-energy QM/MM-optimized
structures for key (B) intermediates and (C) transition states are
shown. Space-filling representations for key residues are used to
highlight important steric constraints occurring in the active site.
Energies, distances, angles, and spin density values are given in
kcal·mol–1, angstroms (Å), degrees (°),
and a.u., respectively. The QM/MM-calculated mechanism based on a re face NAC of styrene in the P450LA1 active
site is reported in Figure S14.Based on these results, QM/MM calculations suggest
that aldehyde
side product formation observed in P450LA1 may be attributed
to the confinement in the enzyme active site that helps to stabilize
the radical intermediate LA1-Int1. However, although
the carbonyl pathway is energetically downhill and highly favorable,
the epoxide (2) can still be formed as the major product,
favored by the existing “dynamic match” between the
two C–O bond forming coordinates. The carbonyl pathway is disfavored
by the geometric rearrangement required to form carbocation LA1-Int2 from LA1-Int1 and the fact that epoxide
formation from LA1-Int1 is barrierless (doublet) or has
a very low-energy barrier (quartet LA1-TS2). Consequently,
a higher control over the accessible conformations of the nascent
radical intermediate would be required to selectively promote the
carbonyl pathway.In the next step, we calculated the competing
carbonyl forming
and epoxidation reaction pathways catalyzed by the evolved aMOx biocatalyst
(Figure ). These QM/MM
calculations revealed significant differences compared to the truncated
model (Figure ) and
P450LA1 (Figure ). QM/MM calculations were carried out considering the preferred
reactive binding mode of styrene in the aMOx active site (Figure ), where the re face of the alkene is exposed to the iron-oxo active
species (see Supporting InformationFigure S23 for calculations involving the alternative
minor si face binding mode,[52] which exhibit significantly higher reaction barriers and thus making
it significantly less reactive). These calculations showed that similar
to the wildtype P450LA1 system, both doublet and quartet
radical intermediates aMOx-Int1 can be optimized and
characterized as minima on the PES (Figure A). Additionally, calculations described
a significant barrier for the second C2–O bond formation (aMOx-TS2, Figure A) from the radical intermediate aMOx-Int1 in both doublet
or quartet electronic states. The estimated barrier for three-membered
ring formation (aMOx-TS2 ΔG‡ = 10.7 kcal·mol–1 and aMOx-TS2 ΔG‡ = 9.7 kcal·mol–1, from the lowest-energy quartet aMOx-Int1, Figure ) is significantly higher as compared to the ones estimated for the
enzyme-free model (Figure ) and wildtype enzyme (Figure ). This observation presents a scenario in which the
activated radical intermediate is stabilized by the active site of
aMOx due to confinement and steric interactions increasing its lifetime
(Figure A,B). This
leads to an effective thermal equilibration, loss of the excess of
kinetic energy, and vibrational energy redistribution. The equilibrated
radical intermediate (aMOx-Int1) can thus follow the lowest-energy reaction pathway to generate
the carbonyl product, through a rotation along the ∠O–C1–C2–C(Ph)
dihedral angle (aMOx-TS-rotation, ΔG‡ = 7.2 kcal·mol–1, Figure S22). This is
a significant rotational barrier as compared to the enzyme-free system
and wildtype P450LA1, which is attributed to the higher
confinement and packing in the evolved aMOx active site. Although
higher, this rotational barrier that converts aMOx-Int1 into an aMOx-Int2-like geometry is significantly lower
than the epoxide-forming barrier aMOx-TS2 (ΔΔG
ca. −2.5 and −3.5 kcal·mol–1 for
doublet and quartet, respectively; Figure S22). QM/MM calculations described that the carbocation intermediate
formation is uphill (aMOx-Int2 ΔΔG = 5.9 and aMOx-Int2 ΔΔG = 9.1
kcal·mol–1, from the lowest-energy aMOx-Int1, Figures and S22), but
these carbocation intermediates are still lower in energy than the
corresponding epoxide-forming transition states (Figure A). 1,2-Hydride migration from
carbocation aMOx-Int2 is found to be barrierless in both
electronic states (Figure A,C), with the doublet electronic state pathway being lower
in energy than the quartet electronic state pathway. Tight active
site packing in the aMOx variant stabilizes the radical intermediate
by holding the aromatic ring in a specific position, establishing
hydrophobic interactions with active site residues L97, V123I, V278,
and A279 (Figure B,C).
Similar to wildtype P450LA1, formation of the carbocation
involves the rotation of the methylene–oxygen group to ensure
stereoelectronic stabilization of the carbocation, while the aromatic
ring is held at the same position (Figure B).
Figure 6
QM/MM calculations on aMOx-catalyzed reaction
pathways. (A) QM/MM-calculated
reaction mechanism for the (S)-selective epoxidation
and carbonyl formation pathways of styrene catalyzed by the aMOx variant
(see also Figure S19). A representative
snapshot from intermediate-bound MD simulations with styrene in the
preferred reactive re face binding pose is used as
the starting point (see Figure D). Relative Gibbs energies and electronic energies (ΔG and ΔE, respectively) are shown
in blue for doublet (d) electronic state and green for quartet (q).
Lowest-energy QM/MM-optimized structures for key (B) intermediates
and (C) transition states are shown. Space-filling representations
for key residues are used to highlight important steric constraints
occurring in the active site. Energies, distances, angles, and spin
density values are given in kcal·mol–1, angstroms
(Å), degrees (°), and a.u., respectively. The QM/MM-calculated
mechanism based on the minor explored si face NAC
of styrene in the aMOx active site is reported in Figure S23. a Structure optimized with C2–cis-H, C2–trans-H, and cis-H–trans-H distances frozen. Distance values
are taken from the optimized structure in the doublet state. Frequency
calculations showed that the optimized structure has all positive
frequencies. b The TS structure optimized with C2–cis-H, C1–cis-H, and O–C1
distances frozen. Distance values are taken from the optimized structure
in the doublet state. Frequency calculations showed that all frequencies
of the optimized structure are positive except one, which corresponds
to the H-migration coordinate.
QM/MM calculations on aMOx-catalyzed reaction
pathways. (A) QM/MM-calculated
reaction mechanism for the (S)-selective epoxidation
and carbonyl formation pathways of styrene catalyzed by the aMOx variant
(see also Figure S19). A representative
snapshot from intermediate-bound MD simulations with styrene in the
preferred reactive re face binding pose is used as
the starting point (see Figure D). Relative Gibbs energies and electronic energies (ΔG and ΔE, respectively) are shown
in blue for doublet (d) electronic state and green for quartet (q).
Lowest-energy QM/MM-optimized structures for key (B) intermediates
and (C) transition states are shown. Space-filling representations
for key residues are used to highlight important steric constraints
occurring in the active site. Energies, distances, angles, and spin
density values are given in kcal·mol–1, angstroms
(Å), degrees (°), and a.u., respectively. The QM/MM-calculated
mechanism based on the minor explored si face NAC
of styrene in the aMOx active site is reported in Figure S23. a Structure optimized with C2–cis-H, C2–trans-H, and cis-H–trans-H distances frozen. Distance values
are taken from the optimized structure in the doublet state. Frequency
calculations showed that the optimized structure has all positive
frequencies. b The TS structure optimized with C2–cis-H, C1–cis-H, and O–C1
distances frozen. Distance values are taken from the optimized structure
in the doublet state. Frequency calculations showed that all frequencies
of the optimized structure are positive except one, which corresponds
to the H-migration coordinate.Thus, aMOx can override the intrinsic dynamic preferences
for epoxidation
by imposing steric constraints to the formed radical intermediate,
allowing its thermal equilibration. These steric constraints disfavor
the epoxidation TS2 with respect to the carbocation formation
and hydride migration transition state TS3. Carbonyl
formation is thus energetically more favorable than epoxidation, which
explains the chemoselectivity achieved by the evolved aMOx enzyme.Finally, we evaluated the role of the local electric field (LEF)
generated in the active site cavity of wildtype P450LA1 and aMOx in the stabilization of the carbocation intermediate using
the QM/MM optimized structures of LA1-Int1 and aMOx-Int1, respectively. Recently, it was shown that LEFs generated by enzyme
scaffolds could also play a significant role in dictating the reactivity
of heme[53−57] and non-heme[58] iron proteins, in addition
to the steric control that the protein exerts by constraining the
accessible conformations for the substrate. Interestingly, our calculations
indicated that the LEF generated in the active site cavity in both
P450LA1 and aMOx variants are equivalent in both the direction
and strength (Figure S25). The LEF is oriented
along the Fe–O axis and follows this direction (from Fe to
O direction). Therefore, these calculations showed that evolution
did not significantly altered the LEF exerted by the protein scaffold.In order to assess the impact that this LEF generated by the protein
might have on the stabilization of the carbocation intermediate, we
carried out additional DFT calculations using computational truncated
models (see Figures S26 and S27). Our calculations showed that the generated
LEF in the aMOx active site largely stabilizes the carbocation Int2 as compared to the radical intermediate Int1. Additionally, calculations indicated that the generated LEF has
a suitable orientation and direction to favor the formation and stabilization
of the carbocation Int2 (Figures S28 and S29). Other orientations
and directions of the LEF would lead to much less or insignificant
stabilization of the carbocation intermediate Int2 as
compared to the radical.These results support the conclusion
that the existing electrostatic
preorganization of the wildtype P450LA1 active site favors
the formation of the carbocation intermediate. This electrostatic
preorganization is required, together with the strong conformational
control achieved by the aMOx variant active site upon evolution, to
direct the reaction toward the carbonyl formation pathway.
Selective Hydride Migration: Synergies between Computational
Modeling and Enzymatic Conversion of Deuterium-Labeled Styrenes
QM/MM calculations do not only reveal that the protein environment
offers a high degree of conformational control over the reactive intermediates
but also propose high stereoselectivity in the hydride migration.
The tight conformational control of aMOx primes the cis-H atom of the styrene substrate for selective migration on the re face of the carbocation intermediate through the lowest-energy
transition state aMOx-TS3 (Figure B,C and Figures S19–S21). This can be rationalized by the oxygen attack from the re face and rotation of the C1–C2 bond to generate
a stabilized carbocation intermediate. In this conformation, the C–H
bond (cis-H) and the empty p-orbital of the benzylic
carbocation intermediate are geometrically preorganized for selective
hydride migration on the re face (Figures B, and S20 and S22).To validate
the predicted cis-selective and enantioselective
hydride migration obtained from QM/MM calculations and to further
support the modus operandi of the carbonyl-selective
aMOx enzyme, we synthesized deuterium-labeled cis- and trans-styrene-(β)-d, according to the literature.[59,60] Both substrates were
independently converted by the aMOx enzyme. To avoid loss of the deuterium
label by keto–enol tautomerism of the aldehyde product, the
reactions were performed in an enzyme cascade, together with a phenylacetaldehyde
reductase (PAR). We used mass spectrometry to characterize the position
of the deuterium label in the products (Figures S30 and S31). While hydride migration
could be observed with the deuterium label at the trans-position, deuteride migration occurred with the cis-labeled styrene (Figure ). The experimental data are in full agreement with the computational
investigations and demonstrate that aMOx catalyzes a cis-selective 1,2-migration.
Figure 7
(A) Determination of the cis/trans- and stereoselectivity of the 1,2-hydride
migration with deuterium-labeled
styrenes as substrates. (B) Conformational control of the carbocation
intermediate allows an enantioselective 1,2-migration, yielding the
aldehyde as the (R)-enantiomer predominantly.
(A) Determination of the cis/trans- and stereoselectivity of the 1,2-hydride
migration with deuterium-labeled
styrenes as substrates. (B) Conformational control of the carbocation
intermediate allows an enantioselective 1,2-migration, yielding the
aldehyde as the (R)-enantiomer predominantly.Finally, we aimed to analyze the enantioselectivity
during the
1,2-hydride migration. Computational and recent experimental studies[26] suggested that aMOx can control the enantioselectivity
in the 1,2-hydride migration. According to our QM/MM calculations,
the cis-hydride migrates selectively on the re face of the prochiral substrate due to conformational
restraints imposed by the active site of the enzyme and the reactive
binding pose that the substrate and intermediates adopt (see above).
To support this finding with experimental evidences, we performed
a preparative scale reaction with cis-styrene-(β)-d
as a substrate and aMOx as a catalyst (see SI for details). The upscaling
was performed in a cascade reaction with PAR to avoid racemization
of the aldehyde via keto–enol tautomerism. The deuterium-labeled
alcohol was isolated with a yield of 41% and converted to the Mosher
ester. 1H NMR analysis of the ester revealed that the formed
stereocenter is predominantly (R)-configurated with
a selectivity of (R):(S) > 90:10
(Figures S33 and S34). Consequently, the 1,2-hydride/deuteride migration occurs selectively
on the re side, which is in full agreement with computational
models and predictions. It is currently not clear whether the <10%
(S)-enantiomer derives from racemization of the aldehyde
or by unselective 1,2-migration.Overall, this strengthens our
findings that aMOx is the first catalyst
capable of performing enantioselective alkene to carbonyl oxidation.
aMOx achieves this by a catalytic enantioselective 1,2-hydride migration,
which has to the best of our knowledge not been reported so far. Catalytic
enantioselective 1,2-migrations on prochiral carbocations are very
challenging and up to now limited to migration of alkyl or phenyl
groups, often in ring-strain releasing processes.[61−63] Stereoselective
1,2-migrations of hydrides are known but typically restricted to chiral,
cyclic molecules. In these substrate-controlled processes, the stereochemical
information is already encoded in the structure of the starting material.[64] In contrast, aMOx achieves enantioselectivity
by catalyst-control, a feature that can potentially be used to control
many other molecular rearrangement reactions[65] involving reactive intermediates. Overall, this cis-selective and enantioselective 1,2-hydride migration is not only
a remarkable catalyst-controlled process, but also supports the computational
predictions on the enzymatic mechanism.
Conclusions
A combination of multiscale computational
methods has been employed
to model the oxidation of styrene by heme iron-oxo active species
in the absence of any enzyme scaffold and in an enzymatic environment
specifically evolved to carry out a carbonyl-selective oxidation reaction.
DFT calculations for styrene as a substrate indicated that the epoxidation
pathway and the direct oxidation to an aldehyde (carbonyl forming
pathway) are energetically accessible, exhibiting low intrinsic barriers,
and diverge after the first C1–O bond formation that leads
to a covalent radical intermediate. DFT calculations and direct QCTs
showed that the fleeting radical intermediate is
formed with a large excess of kinetic energy. In addition, these
calculations revealed a strong coupling between the reaction coordinate
that describes this first C1–O bond formation with the coordinate
that promotes the second C2–O bond formation. These factors
intrinsically favor the epoxide product formation over the aldehyde
formation in the enzyme-free model system. However, when the reaction
takes place in an enzymatic framework, confinement helps in dissipating
the excess of energy of the radical intermediate, allowing its thermal
equilibration. Furthermore, electrostatic preorganization of the enzyme
active site also stabilizes the formation of the carbocation intermediate.
In addition, QM/MM calculations described that the evolved aMOx enzyme
imposes steric constraints to the reactive intermediates when formed
in its active site, which limits their accessible conformations. This
translates into disfavoring the transition state that leads to the
epoxide product via second C2–O bond formation, while allowing
a cis- and enantioselective 1,2-hydride migration
to preferentially generate the aldehyde product. Consequently, intrinsic
dynamic preferences and the important “dynamic match”
that strongly favors epoxidation are overridden by the evolved aMOx
enzyme. These computational predictions were further supported by
experimental investigations using deuterated styrene substrates, demonstrating
that confinement achieved by the evolved aMOx enzyme also controls
the stereoselectivity in the hydride-migration step.Our results
demonstrate that confinement[39] is essential
to alter and control the intrinsic dynamic behavior
of these highly reactive fleeting intermediates formed
over the course of these diverging oxidation pathways. The dynamic
behavior of such intermediates which indeed can be (pro-)chiral[52] has a large impact on the chemoselectivity of
the reaction. Mechanistic insights obtained in this work provide useful
guidance that may help to further expand this new biocatalytic direct
oxidation of alkenes to carbonyl compounds toward more challenging
substrates, including internal alkenes[66] or unactivated, aliphatic alkenes. We envision that other biological
or abiological enzyme-catalyzed reactions might use similar mechanisms
to outcompete intrinsic dynamic effects of reactive intermediates
to access alternative catalytic cycles that are challenging to achieve
otherwise. We expect that our study paves the way toward the design
of new enzyme-catalyzed reactions that exploit these features.