Rakesh C Puthenkalathil1, Bernd Ensing1. 1. Van 't Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands.
Abstract
Di-iron hydrogenases are a class of enzymes that are capable of reducing protons to form molecular hydrogen with high efficiency. In addition to the catalytic site, these enzymes have evolved dedicated pathways to transport protons and electrons to the reaction center. Here, we present a detailed study of the most likely proton transfer pathway in such an enzyme using QM/MM molecular dynamics simulations. The protons are transported through a channel lined out from the protein exterior to the di-iron active site, by a series of hydrogen-bonded, weakly acidic or basic, amino acids and two incorporated water molecules. The channel shows remarkable flexibility, which is an essential feature to quickly reset the hydrogen-bond direction in the channel after each proton passing. Proton transport takes place via a "hole" mechanism, rather than an excess proton mechanism, the free energy landscape of which is remarkably flat, with a highest transition state barrier of only 5 kcal/mol. These results confirm our previous assumptions that proton transport is not rate limiting in the H2 formation activity and that cysteine C299 may be considered protonated at physiological pH conditions. Detailed understanding of this proton transport may aid in the ongoing attempts to design artificial biomimetic hydrogenases for hydrogen fuel production.
Di-iron hydrogenases are a class of enzymes that are capable of reducing protons to form molecular hydrogen with high efficiency. In addition to the catalytic site, these enzymes have evolved dedicated pathways to transport protons and electrons to the reaction center. Here, we present a detailed study of the most likely proton transfer pathway in such an enzyme using QM/MM molecular dynamics simulations. The protons are transported through a channel lined out from the protein exterior to the di-iron active site, by a series of hydrogen-bonded, weakly acidic or basic, amino acids and two incorporated water molecules. The channel shows remarkable flexibility, which is an essential feature to quickly reset the hydrogen-bond direction in the channel after each proton passing. Proton transport takes place via a "hole" mechanism, rather than an excess proton mechanism, the free energy landscape of which is remarkably flat, with a highest transition state barrier of only 5 kcal/mol. These results confirm our previous assumptions that proton transport is not rate limiting in the H2 formation activity and that cysteine C299 may be considered protonated at physiological pH conditions. Detailed understanding of this proton transport may aid in the ongoing attempts to design artificial biomimetic hydrogenases for hydrogen fuel production.
Enzyme
catalyzed hydrogen production is an inspiration for renewable
energy research. Electrocatalytic di-iron complexes that mimic the
active site of hydrogenase enzymes are able to produce molecular hydrogen
fuel by reducing protons, which is an appealing, more sustainable,
alternative for the currently prevalent methods based on steam re-forming
of fossil fuels and gasification of coal.[1] In particular, the protein family of [FeFe] hydrogenase enzymes
is highly efficient in producing H2 and has tremendous
potential to function as a precursor for artificial catalysts.[2] Recent rationally designed di-iron compounds
show promising activities, but, so far, none of them is remotely as
efficient as the natural enzyme.[3]The active site of the [FeFe] hydrogenase enzyme, commonly referred
to as the H-cluster, is located in a hydrophobic cavity inside the
enzyme. The transfer of protons and electrons from the protein exterior
to the active site follows separate pathways through the protein scaffold,
as illustrated in Figure . The electrons transfer via a series of four Fe4S4 cubane cofactors, denoted FS4A to FSAD and one Fe2S2 cofactor, labeled FS2.[4,5] The
proton transfer most likely occurs via a Grotthuss mechanism along
hydrogen-bonded networks of amino-acid residues and crystallographic
water molecules.[6]
Figure 1
(Left) Cartoon structure
of the [FeFe] hydrogenase enzyme. The
electron pathway, proton pathway, and catalytic center are highlighted.
(Right) Zoom-in on the proposed proton transfer channel outlined by
residues Glu282, Ser319, Glu279, and Cys299. Residues Lys571, Glu368,
and Glu361 may take part in an alternative pathway for proton transfer
(see main text).
(Left) Cartoon structure
of the [FeFe] hydrogenase enzyme. The
electron pathway, proton pathway, and catalytic center are highlighted.
(Right) Zoom-in on the proposed proton transfer channel outlined by
residues Glu282, Ser319, Glu279, and Cys299. Residues Lys571, Glu368,
and Glu361 may take part in an alternative pathway for proton transfer
(see main text).Three different proton
transport pathways have been proposed for
[FeFe] hydrogenases.[7] Pathway 1 consists
of two glutamic-acid residues (Glu282, Glu279), a serine residue (Ser319),
crystallographic water (H2O-615), and a cysteine residue (Cys299)
and is considered the primary proton pathway (see right-hand-side
panel in Figure ).
Site-mutation studies of the residues along this pathway deactivated
the enzyme by 95%,[6,8] which is a very strong indication
that this channel is indeed the main pathway for the proton transport
to the catalytically active H-cluster. Pathway 2 is proposed to start
at surface residue Lys571, includes Ser298 and crystallographic water
(H20-594, -668, -675), and ends at Cys299.[9] These two pathways are proposed to carry protons to the di-iron
bridging di(thiomethyl)amine (DTMA) ligand of the H-cluster, which
can act as a proton relay. A third pathway is proposed to protonate
the CN– ligand of the H-cluster. This pathway contains
surface residues Glu245, Lys237, Ser202, and Glu240 and three crystallographic
water molecules.[10]The residual 5%
activity after mutation of key residues in pathway
1 suggests that the other proposed pathways may serve as backup channels
to transfer protons to the catalytic site, albeit with a much lower
efficiency. However, recent work by Duan et al. suggests that the
residual efficiency may also be due to transfer via water molecules
in the site mutated channel.[11] Senger et
al. showed that the flexible hydrogen-bond network along the primary
proton transfer pathway helps in the bidirectional transfer of protons
and that the protons follow a discontinuous mechanism in the oxidized
state.[12] Lampret and co-workers recently
showed that long-range interactions between the electron and proton
transfer pathways affect the directionality and efficiency of the
catalysis.[13]Having established pathway
1 as the main proton channel, still
many questions concerning the detailed mechanism have remained unanswered.
Is the transfer of the proton through the protein also enhanced by
concerted protein rearrangements and/or solvent penetration as seen
for the electron transfer? Does the charge transfer follow an excess
proton or a hole transport mechanism? Does the hydrogen-bonded chain
of amino acids and water molecules along the transfer pathway require
a directional reorganization after each proton transfer, and would
such resetting of the chain be a bottleneck on the transfer kinetics?
And more generally, what can we learn from the proton transfer process
in the enzyme that could benefit the rational design of improved artificial
catalysts for hydrogen fuel production?In our previous study
of the electron transfer pathway, we used
classical force field simulations to show that the protein matrix
is highly flexible and allows for a significant protein reorganization
and solvent penetration near each of the cubane clusters when it is
reduced.[5] The protein and solvent reorganization
stabilize the negatively charged state of the cubane and help the
migration of the electrons toward the catalytic site. Also in other
redox active proteins such water penetration has been observed in
concert with electron transfer.[14,15]In this work,
we focus our attention on answering the above questions
about the proton transfer mechanism in the main pathway in di-iron
hydrogenase. In particular, we employ classical force field molecular
dynamics (MD) and hybrid quantum chemical/force field (QM/MM) simulations
to unravel the mechanistic details of the transfer and compute the
free energy landscape of the proton hopping along the pathway. The
free energy profile will reveal possible bottlenecks and metastable
intermediate states and whether indeed the Cys299 may be expected
to be protonated under physiological pH.
Methods
The initial
atomistic structure of the [FeFe] hydrogenase enzyme
for our simulations is taken from the crystal structure PDB 3C8Y of the protein databank.[16] We use the Gromacs simulation package[17] for carrying out classical molecular dynamics
simulations. The protein force field parameters are taken from the
CHARMM27 force field with CMAP corrections.[18,19] The TIP3P water model is used for the solvent.[20] For the FeS clusters, we use the parameters devised by
Chang and Kim[21] and further modified by
McCullagh and Voth.[4] All metal ions are
bound to their ligating atoms via harmonic bond potentials. The protein
is solvated with 30000 water molecules and sodium and chlorine ions
to create a 0.1 M NaCl solution, thereby neutralizing the protein
charge. After an initial energy minimization, the system is equilibriated
for 10 ns in the NPT ensemble to a temperature of T = 300 K and a pressure of p = 1 atm.
A subsequent equilibration run of 20 ns followed by a production run
of 100 ns are carried out in the NVT ensemble. These
120 ns NVT simulation runs are repeated five more
times, in which every time a different cubane cluster, or the FS2
cluster, is electronically reduced. The total length of these MD simulations
of the hydrogenase system is 720 ns, of which 600 ns is used for analysis.
All simulations are performed with the default leapfrog integration
scheme and a time step of 2 fs, using LINCS[22] to constrain all bonds. The v-rescale thermostat[23] and the Parrinello–Rahman barostat[24] are used for the isothermal–isobaric system.The mixed QM/MM simulations are performed using the CP2K software,[25] in which the electronic structure in the QM
region is described at the density functional theory (DFT) level of
theory using the mixed Gaussian and plane wave method as implemented
in CP2K. The PBE exchange–correlation functional[26] is used, augmented with Grimme’s D3 dispersion
corrections.[27] The valence electronic wave
functions are expanded with the DZVP-MOLOPT[28] basis set together with GTH type pseudo potentials[29,30] to describe the interaction with the core electrons and the nuclei.
The plane wave expansion is cut off at 300 Ry. The PBE functional
is a GGA-type functional that provides a very good compromise between
accuracy and efficiency, which is essential for carrying out our DFT-based
MD simulations within a QM/MM framework. PBE has been extensively
benchmarked by us for our previous studies on hydrogenase catalysis[31,32] and by others, showing for example the good performance on hydrogen-bonded
systems.[33−35] For the MM region, the same CHARMM force field is
employed as for the Gromacs simulations. The QM/MM simulations[36,37] are carried out in the NVT ensemble with a QM box
size of 15 × 15 × 25 Å3. A Poisson solver
is used to avoid spurious periodic electrostatic interactions.[38] The v-rescale thermostat[23] with a time constant of 50 fs maintains an average temperature
of 300 K.Constrained molecular dynamics simulations[39] are carried out to compute the free energy profiles
along the proton
transfer pathway. Here, a collective variable (CV) that represents
the reaction coordinate of the proton transfer process is held fixed
during the simulation using the method of Lagrange multipliers. The
CVs used in this study are all of the type of the difference between
two distances, as follows:in which the first
right-hand-side
term is
the distance between the atom that donates the proton, XD, and the proton, H, and the second term is the distance between
the accepting atom, XA, and the proton. X is an oxygen,
nitrogen, or sulfur atom. The CV, q, is thus guided
from a negative number in the reactant state, via q = 0 at which the proton is equidistant from the donor and the acceptor,
to a positive number in the product state.An equilibration
run of 3 ps and a production run of 10 ps is performed
at each constrained CV value. The first constrained QM/MM run (see
also panel A in Figure ) is started from a configuration taken from the final part of the
force field MD simulation of the oxidized hydrogenase, in which the
Glu279 and Glu282 residues are oriented in a “forward”
configuration for proton transfer and most H-bonds in the channel
are intact. Each subsequent constrained QM/MM run was then started
from the last frame of the 3 ps equilibration run of the former run,
by increasing q to the next constrained value and
starting the next equilibration run. The free energy profile as a
function of the CV, ΔG, is obtained by integrating
the accumulated average constraint force (i.e., the Lagrange multiplier)
over the CV, ranging from the initial to the final constrained CV
value:Note that
the derivative of the Hamiltonian
with respect to the CV, dH/dq, is
the constraint force, and the subscript q′
denotes that the average is obtained from a constrained ensemble.
Figure 4
Top left: free
energy profile of the proton transfer from the cysteine
sulfur atom to the nitrogen atom of the DTMA residue. The labels A,
B, and C denote the initial, transition, and final states, respectively.
Center-left: computed average force of constraint. The CV values at
which the average force is zero signify the stable states and the
transition state. The error bars signify the standard deviations in
the force. Bottom-left: average distances between S–H, N–H,
and S–H1 atoms. Right: molecular structures of states A, B,
and C. The atoms labels are indicated in structure A.
Results
and Discussions
The results are organized as follows. We
first discuss the analysis
of the 100 ns long force field MD simulation to assess the stability
of the hydrogen-bond network of the proton transfer pathway outlined
by amino-acid residues Glu282, Ser319, Glu279, and Cys299, as shown
in Figure . Next,
we examine the effect of the protein oxidation state on the protein
structure in the vicinity of the proton transfer channel. The second
part of the results is dedicated to the proton transfer free energy
landscape and mechanism, computed with constrained QM/MM MD simulations.
The transport through this long channel is subdivided into four consecutive
proton transfer segments: (1) the transfer to the DTMA bridging ligand
at the catalytic site from the cysteine residue Cys299, (2) the transfer
to Cys299 from Glu279 via encapsulated water molecules, (3) the transfer
to Glu279 from Glu282 via Ser319, and finally (4) the protonation
of Glu282 from the solvent. The reason that we start the proton transport
process from the solvent to the catalytic site from the end point
is because we find that the most favorable mechanism follows a “proton
hole” transport mechanism. In other words, the process proceeds
by transport of a proton deficiency from the catalytic site to the
protein exterior and the solvent.
Hydrogen-Bond Network Stability and Glutamic-Acid
Rotation
For each hydrogen molecule to be formed at the catalytic
center
in the [FeFe] hydrogenase enzyme, two protons have to be transported
from the solvent to the H-cluster via the proton transfer channel.
Note, however, that after each delivery of a proton via Grotthuss
mechanistic jumps along the hydrogen-bonded network in the channel
(i.e., after the passing of a “hole” in the opposite
direction) all hydrogen bonds have switched direction as the hydrogen-bond
donors have become the acceptors and vice versa. Panel C in Figure shows the H-bonded
network ready for forward transport. After all protons have made one
Grotthuss jump forward, only backward transport is possible unless
several structural rearrangements take place to reset the network
to the initial “forward state”. In particular, the two
glutamic acids have to undergo a 180° rotation and also water
molecule H2O615 has to reorient.[40] Clearly,
a high free energy barrier for these conformational changes to reset
the network to the forward state will slow down the catalytic proton
reduction process.The energy barrier of the glutamic-acid rotation
is known to be small, unless the rotamers are stabilized by strong
hydrogen bonds to the neighboring residues. However, our 100 ns long
force field MD simulation reveals that the H-bond network is not particularly
stable, showing large fluctuations in the side-chain orientations
of all amino acids involved in the proton transport channel with the
H-bonds as often broken as intact. This is illustrated in Figure for the Glu282–Ser319–Glu279
segment. Both acid groups are seen to make spontaneous rotations on
the simulation time scale, and also the serine moves in and out of
conformations in which it can make hydrogen bonds with the glutamic
acids. Interestingly, one might have expected that an intraprotein
channel for efficient proton transfer would require a very stable
H-bonded network, but that would hamper fast resetting of the network
back to the forward configuration. Moreover, our QM/MM simulations
suggest that the H-bonded network is (locally) stabilized during the
actual proton transfer due to the negative charge of the passing hole.
This finding also corroborates a previous study, which shows that
the energy barrier of this conformational change is negligible compared
to the proton transfer energy barrier.[40]
Figure 2
(Left)
Distances of selected hydrogen bonds during the force field
MD simulation. The O1–H1 and O2–H2 distances are ≤2
Å in their “forward” conformer state. The distances
increase as they change to the “backward” conformer.
(Right) Superposition of the OH and O atomic positions of the Glu282,
Ser319, and Glu279 residues at small time intervals during the MD
simulation shown by transparent red (O) and white (H) spheres. The
blue and red ovals group positions belonging to the forward and backward
states, respectively. The superimposed ball-and-stick structure illustrates
the H-bond network in the forward state.
(Left)
Distances of selected hydrogen bonds during the force field
MD simulation. The O1–H1 and O2–H2 distances are ≤2
Å in their “forward” conformer state. The distances
increase as they change to the “backward” conformer.
(Right) Superposition of the OH and O atomic positions of the Glu282,
Ser319, and Glu279 residues at small time intervals during the MD
simulation shown by transparent red (O) and white (H) spheres. The
blue and red ovals group positions belonging to the forward and backward
states, respectively. The superimposed ball-and-stick structure illustrates
the H-bond network in the forward state.
Water Penetration and the Effects of Cubane Reduction
In
our previous study of the electron transport process via subsequent
reduction of the Fe4S4 and Fe2S2 cubane clusters (shown in left panel of Figure ), we observed large fluctuations
in the protein structure and penetration of solvent water, especially
in the vicinity of the cubane clusters that had received an electron.[5] Such outer sphere reorganization is an integral
part of Marcus’ theory of electron transfer that helps to stabilize
the oxidized and reduced states. Here, we examine the protein scaffold
fluctuations and water penetration in the vicinity of the proton transfer
channel, and the influence of the location of an electron in the pathway
outlined by the cubane clusters FS2, FS4D, FS4C, FS4B, and FS4A, here
ordered by closeness to the proton transfer channel, FS2 being farthest
away.Water density maps computed from the classical force field
MD simulations are shown in Figure . They reveal several small pockets of water, including
the two encapsulated water molecules (H2O615 and H2O616) taking part
of the main proton transport channel (encircled with a yellow oval).
However, most larger pockets are located at the protein exterior (denoted
by blue ovals), and little variation upon cubane reduction is seen.
Also no continuous water channel from the protein surface to the H-cluster
was observed, through which protons could directly diffuse to the
catalytic site. Different from the cubane clusters vicinity, solvent
reorganization is seen to be minimal in the neighborhood of the proton
transfer channel. Water density maps at t = 50 and t = 100 ns show that the water percolation in the enzyme
is established within tens of nanoseconds and that the water pockets
remain stable with little variation on this time scale (shown in Figure S1 in the Supporting Information).
Figure 3
Water density
maps in the vicinity of the proton transfer pathway
at different oxidation states of the five cubane clusters. In the
top left panel, all cubane clusters are oxidized; in the other panels,
one cubane cluster is in the reduced state as indicated on top. The
red isosurfaces represent the average density of water molecules during
the simulation at an isovalue of 0.05. The yellow oval denotes the
encapsulated water molecules in the proton transfer channel. Blue
ovals indicate solvent water in contact with the outermost residues
of the different proton pathways.
Water density
maps in the vicinity of the proton transfer pathway
at different oxidation states of the five cubane clusters. In the
top left panel, all cubane clusters are oxidized; in the other panels,
one cubane cluster is in the reduced state as indicated on top. The
red isosurfaces represent the average density of water molecules during
the simulation at an isovalue of 0.05. The yellow oval denotes the
encapsulated water molecules in the proton transfer channel. Blue
ovals indicate solvent water in contact with the outermost residues
of the different proton pathways.
Proton Transfer from Cys299 to DTMA
When the proton
transfer channel is in the initial “rest” state, i.e.,
no protons are being transferred, the two glutamic acids, the serine,
and the cysteine are protonated, and the two encapsulated water molecules
taking part in the hydrogen-bonded network are not protonated to hydronium
ions. This initial state is shown in panel A of Figure , with all hydrogen bonds in the “forward” configuration,
as described above. At the left side of the channel, the unprotonated
DTMA ligand is shown, which is considered to function as a proton
relay in the catalytic H-cluster that shuttles the protons to the
di-iron site. Because of the presence of the lone pair of electrons
on the nitrogen, DTMA can act as a “proton hole” to
initiate the proton transfer process.[41,42]Top left: free
energy profile of the proton transfer from the cysteine
sulfur atom to the nitrogen atom of the DTMA residue. The labels A,
B, and C denote the initial, transition, and final states, respectively.
Center-left: computed average force of constraint. The CV values at
which the average force is zero signify the stable states and the
transition state. The error bars signify the standard deviations in
the force. Bottom-left: average distances between S–H, N–H,
and S–H1 atoms. Right: molecular structures of states A, B,
and C. The atoms labels are indicated in structure A.The first stage of the proton transport that we model here
with
constrained QM/MM MD simulation is the transfer of the proton on the
nearby Cys299 ligand to the DTMA ligand. The QM region includes all
atoms shown in panel A of Figure , whereas the rest of the protein scaffold and its
cofactors, the solvent, and the ions are included in the MM representation.
The constrained CV is the difference between the S–H and N–H
distances, q = dS–H – dN–H. Six constrained
simulations are performed with the CV ranging from q = −1.2 Å in the initial reactant state (labeled
A) to q = 0.3 Å in the product state
(C).The free energy profile shows that this first proton transfer
is
somewhat uphill by ∼2.5 kcal/mol, with a small barrier of ∼3
kcal/mol (see top-left panel in Figure ). Note that the proton donation by the cysteine residue
is accompanied by a spontaneous strengthening of the hydrogen bond
from the water molecule H2O615 to the sulfer atom of the cysteine
residue (see the green graph in the bottom-left panel). However, creation
of the protein hole at the cysteine does not trigger further spontaneous
proton transfer reactions in the channel on our short simulation time
scale.
Proton Transfer from Glu279 to Cys299
In the second
proton transfer step, we set out to transfer a proton to the deprotonated
Cys299 ligand from the nearby H2O615 molecule. Note, however, as shown
in the panels A, B, and C of Figure , that this reaction is concerted with a spontaneous
proton transfer from Glu279 to the water molecule. Therefore, we effectively
observe proton transfer from Glu279 to Cys299 via the intermediary
H2O615, and thus hole transfer in the opposite direction from Cys299
to Glu279. The constrained CV is q = dO1–H1 – dS–H1. The resulting free energy profile is very flat, with an even smaller
reaction barrier than for the first transfer of ∼1 kcal/mol.
The measured very low activation barrier and minute overall free energy
increase indicates that indeed the second transfer from Glu279 to
the H2O615 is spontaneous and reversible, although this transfer was
not directly biased through our CV.
Figure 5
Top-left: free energy profile of the proton
transfer from Glu279
to the cysteine via intermediary water molecule H2O615. The labels
A, B, and C denote the initial, transition, and final states, respectively.
Center-left: computed average force of constraint. Bottom-left: selected
average distances. Right: molecular structures of states A, B, and
C. The local hydrogen-bond network is highlighted with green lines
in structure B; the average hydrogen-bond distances are shown in red.
Top-left: free energy profile of the proton
transfer from Glu279
to the cysteine via intermediary water molecule H2O615. The labels
A, B, and C denote the initial, transition, and final states, respectively.
Center-left: computed average force of constraint. Bottom-left: selected
average distances. Right: molecular structures of states A, B, and
C. The local hydrogen-bond network is highlighted with green lines
in structure B; the average hydrogen-bond distances are shown in red.An alternate proton transfer pathway has previously
been proposed
in which residue Glu279 does not take part in the transfer process.[40] In that case, when the proton is transferred
to Cys299 from the H2O615 molecule, another proton is transferred
to H2O615 from the H2O616 molecule. But our results indicate that
such a pathway is less favorable. The spontaneous transfer of a proton
from Glu279 and the subsequent stabilization of the intermediate structure
by the hydrogen-bond network is more likely. Moreover, previous experimental
work has shown that mutating the Glu279 residue will reduce the hydrogen
production rate by a factor of 1/2500,[6] thus illustrating the importance of this residue in the proton transfer
process. Our results show that the second water molecule aids in forming
a favorable hydrogen-bond network with the unprotonated Glu279 residue,
thereby stabilizing the negative charge on the residue and enhancing
the proton transfer process. This H-bond network is illustrated by
green lines in structure B in Figure .
Proton Transfer from Glu282 to Glu279
The third segment
of the proton transport process is the transfer of a proton from Glu282
to the Glu279 via the intermediary serine residue. We perform a series
of eight constrained QM/MM MD simulations, in which the QM region
includes only the atoms of these three residues, as shown in panel
A of Figure . Also
here, we control the first transfer step from Ser319 to Glu279 and
observe that simultaneously the second protonation from Glu282 to
Ser319 occurs spontaneously. The constrained CV is q = dO1–H1 – dO2–H1. The free energy profile shows that also
this concerted transfer is somewhat endergonic by ∼1 kcal/mol.
The free energy barrier is, with ∼5 kcal/mol, the largest barrier,
and thus rate limiting, although it is still a very small barrier.
Figure 6
Top-left:
free energy profile of the proton transfer from Glu282
tot Glu279 via Ser319. The labels A, B, and C denote the initial,
transition, and final states, respectively. Center-left: computed
average force of constraint. Bottom-left: selected average hydrogen-bond
distances. Right: molecular structures of states A, B, and C, with
atom labels indicated in structure A.
Top-left:
free energy profile of the proton transfer from Glu282
tot Glu279 via Ser319. The labels A, B, and C denote the initial,
transition, and final states, respectively. Center-left: computed
average force of constraint. Bottom-left: selected average hydrogen-bond
distances. Right: molecular structures of states A, B, and C, with
atom labels indicated in structure A.
Protonation of Glu282 from the Solvent
In the constrained
QM/MM simulations of the previous proton transfer segment, the proton
hole arrived at the glutamic acid 282, which is located at the protein
surface in contact with the water solvent. To complete the proton
transfer process, here we examine the protonation of the Glu282 residue
from a proton donor in the solvent. The Glu282 residue and all water
molecules within 4 Å of this residue are taking part of the QM
region. For the proton donor, we simply introduce a hydronium ion,
H3O+, by protonating one of the water molecules.
After only 3 ps of (unconstrained) QM/MM MD simulation, the proton
from the hydronium ion is seen to jump to the Glu282 residue. Figure shows two simulation
snapshots before and after the proton transfer. This shows that the
proton transfer from the solvent to the deprotonated Glu282 is spontaneous
and can be observed within the picosecond time scale of our DFT-MD
simulation.
Figure 7
Snapshots from the 3 ps QM/MM simulation showing the protonation
of the Glu282 residue from a nearby hydronium ion. The proton is shown
in orange. Initially, the proton is at the solvent (A), and after
3 ps, the proton is transferred to the Glu282 residue (B).
Snapshots from the 3 ps QM/MM simulation showing the protonation
of the Glu282 residue from a nearby hydronium ion. The proton is shown
in orange. Initially, the proton is at the solvent (A), and after
3 ps, the proton is transferred to the Glu282 residue (B).
Conclusions
In this study, we have used force field
and hybrid QM/MM molecular
dynamics simulations to probe the proton transfer in a di-iron hydrogenase
enzyme. The force field simulations show that the protein scaffold
does not allow for significant water permeation in the neighborhood
of the main proton transfer channel, other than the two incorporated
crystallographic water molecules taking part of the channel itself,
and minor fluctuations at the protein surface. This is in contrast
with the substantial protein reorganization and water penetration
seen previously in the vicinity of the cubane cofactors that line
out the electron transfer pathway in the hydrogenase.[5]On the other hand, we observe significant fluctuations
in the protein
transfer channel hydrogen-bond network itself. We believe that this
flexibility is important to allow for rapid rotation of the glutamic-acid
rotamers and resetting of the hydrogen-bond directions in the forward
direction after each proton transfer. The actual proton transport
through the channel follows a “proton hole” mechanism,
in which a proton deficiency travels in the opposite direction all
the way from the catalytic site to the protein surface, while all
protons only make a single Grotthuss jump forward to the next amino
acid or water molecule in the channel.The overall process of
proton transport in the di-iron hydrogenase
in the oxidized state, that is, the process to transfer a proton hole
from the DMTA ligand at the catalytic site to Glu282 at the solvent
exposed protein exterior, is slightly endergonic by 4 kcal/mol. The
rate-limiting free energy barrier for the proton transfer, computed
with constrained QM/MM MD simulations, is only ∼5 kcal/mol.
This rather low barrier thus allows for fast proton transfer kinetics.
The flat free energy landscape agrees with the experimentally observed
bidirectionality and reversibility of the process. The conformational
changes of the glutamate residues are important for maintaining a
favorable hydrogen-bond network. Classical molecular dynamics simulation
shows that the energy barrier for the conformational changes is negligible
when compared to the proton transfer steps. However, a consequence
of the highly flexible hydrogen-bond network is that the observed
mechanism is stepwise rather than a fast delocalized proton shuttle
along a continuous wire spanning the entire channel. Formation of
local hydrogen-bond interactions helps in the proton transfer process
by stabilizing the excess charge on the residues that act as a proton
acceptor. One of the two crystallographic water molecules present
in the cavity between residues Cys299 and Glu279 is involved in the
proton transfer reaction, whereas the other water molecule stabilizes
the local hydrogen-bond network to facilitate the proton transfer.
Our study also shows that the most favorable proton transfer route
is via Glu279, thus explaining the observed slowdown of the hydrogen
production when mutating the Glu279 residue. These findings may also
be helpful for the ongoing efforts to design artificial di-iron hydrogenase
catalysts in porous materials for hydrogen fuel production.[43]
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Authors: A D MacKerell; D Bashford; M Bellott; R L Dunbrack; J D Evanseck; M J Field; S Fischer; J Gao; H Guo; S Ha; D Joseph-McCarthy; L Kuchnir; K Kuczera; F T Lau; C Mattos; S Michnick; T Ngo; D T Nguyen; B Prodhom; W E Reiher; B Roux; M Schlenkrich; J C Smith; R Stote; J Straub; M Watanabe; J Wiórkiewicz-Kuczera; D Yin; M Karplus Journal: J Phys Chem B Date: 1998-04-30 Impact factor: 2.991
Authors: Oliver Lampret; Jifu Duan; Eckhard Hofmann; Martin Winkler; Fraser A Armstrong; Thomas Happe Journal: Proc Natl Acad Sci U S A Date: 2020-08-13 Impact factor: 11.205
Authors: Simone Morra; Alberto Giraudo; Giovanna Di Nardo; Paul W King; Gianfranco Gilardi; Francesca Valetti Journal: PLoS One Date: 2012-10-25 Impact factor: 3.240