Rainer Wilcken1, Markus O Zimmermann2,3, Matthias R Bauer1, Trevor J Rutherford1, Alan R Fersht1, Andreas C Joerger1, Frank M Boeckler2,3. 1. MRC Laboratory of Molecular Biology , Francis Crick Avenue, Cambridge CB2 0QH, United Kingdom. 2. Molecular Design and Pharmaceutical Biophysics, Department of Pharmaceutical and Medicinal Chemistry, Institute of Pharmaceutical Sciences, Eberhard Karls Universität Tübingen , Auf der Morgenstelle 8, 72076 Tübingen, Germany. 3. Center for Bioinformatics Tübingen (ZBIT), Eberhard Karls Universität Tübingen , Sand 1, 72076 Tübingen, Germany.
Abstract
Bioisosteric replacements are widely used in medicinal chemistry to improve physicochemical and ADME properties of molecules while retaining or improving affinity. Here, using the p53 cancer mutant Y220C as a test case, we investigate both computationally and experimentally whether an ethynyl moiety is a suitable bioisostere to replace iodine in ligands that form halogen bonds with the protein backbone. This bioisosteric transformation is synthetically feasible via Sonogashira cross-coupling. In our test case of a particularly strong halogen bond, replacement of the iodine with an ethynyl group resulted in a 13-fold affinity loss. High-resolution crystal structures of the two analogues in complex with the p53-Y220C mutant enabled us to correlate the different affinities with particular features of the binding site and subtle changes in ligand binding mode. In addition, using QM calculations and analyzing the PDB, we provide general guidelines for identifying cases where such a transformation is likely to improve ligand recognition.
Bioisosteric replacements are widely used in medicinal chemistry to improve physicochemical and ADME properties of molecules while retaining or improving affinity. Here, using the p53 cancer mutant Y220C as a test case, we investigate both computationally and experimentally whether an ethynyl moiety is a suitable bioisostere to replace iodine in ligands that form halogen bonds with the protein backbone. This bioisosteric transformation is synthetically feasible via Sonogashira cross-coupling. In our test case of a particularly strong halogen bond, replacement of the iodine with an ethynyl group resulted in a 13-fold affinity loss. High-resolution crystal structures of the two analogues in complex with the p53-Y220C mutant enabled us to correlate the different affinities with particular features of the binding site and subtle changes in ligand binding mode. In addition, using QM calculations and analyzing the PDB, we provide general guidelines for identifying cases where such a transformation is likely to improve ligand recognition.
A frequent
task faced by medicinal
chemists is to replace chemical moieties with known liabilities in
a lead molecule. Such bioisosteric replacements are often used to
modulate physicochemical properties of lead compounds, mitigate compound
metabolism issues, or tune activities.[1] In addition to the more straightforward “classical”
bioisosteric replacements, such as hydrogen to fluorine for increased
metabolic stability, “nonclassical” bioisosteric replacements
involve group exchanges that exceed simple one-atom substitutions
while retaining biological activities (mostly by emulating spatial
and electronic properties of the original group).[1,2]The ethynyl (or “acetylene CH”) group is an interesting
example of a nonclassical bioisostere because of its versatility:
its π cloud is useful for mimicking aromatic systems,[3,4] and its polarized −CH moiety is a weak hydrogen bond donor
and is a replacement for an iodine atom in a study on p53-HDM2 inhibitors.[5,6] The molecular electrostatic potentials for halobenzenes (Cl, Br,
I) and phenylacetylene are remarkably similar, both bearing an area
of positive charge at the tip of the C-X/H bond (where X = Cl, Br,
I, or ethynyl) as well as an area of negative charge perpendicular
to the C-X/H bond (Figure a). The paradigm of halogen bonding, which is based on this
anisotropic electron density distribution (the σ-hole[7,8]), has attracted attention in life sciences[9−11] and drug discovery.[12−16]
Figure 1
Potential for bioisosterism between ethynyl and halogen substituents.
(a) Electrostatic potentials plotted onto the isodensity surfaces
at 0.003 au for chlorobenzene, bromobenzene, iodobenzene, and phenylacetylene.
Color ranges of energies in atomic units are also shown. Calculations
were done at the MP2/TZVPP level of theory. (b) Structural formulas
for gefitinib (left) and erlotinib (right) with the chlorine-to-ethynyl
substitution highlighted. (c) Cocrystal structure of gefitinib bound
to EGFR (PDB: 2ITY) in an overlay with the binding mode of erlotinib from PDB 4HJO. The geometry of
the Cl···O halogen bond is highlighted in yellow.
Intriguingly, there is bioisosteric replacement of a chlorine
moiety
with an ethynyl group for two marketed drugs sharing the same scaffold,
the EGFR inhibitors gefitinib (iressa) and erlotinib (tarceva).[17] The chloro moiety in gefitinib is involved in
a weak halogen bond[12] with the backbone
carbonyl oxygen of Leu788 in the back pocket of the ATP-binding site
of the kinase,[18] and this contact is mimicked
by the ethynyl group in the cocrystal structure of erlotinib[19] (Figure c).Potential for bioisosterism between ethynyl and halogen substituents.
(a) Electrostatic potentials plotted onto the isodensity surfaces
at 0.003 au for chlorobenzene, bromobenzene, iodobenzene, and phenylacetylene.
Color ranges of energies in atomic units are also shown. Calculations
were done at the MP2/TZVPP level of theory. (b) Structural formulas
for gefitinib (left) and erlotinib (right) with the chlorine-to-ethynyl
substitution highlighted. (c) Cocrystal structure of gefitinib bound
to EGFR (PDB: 2ITY) in an overlay with the binding mode of erlotinib from PDB 4HJO. The geometry of
the Cl···O halogen bond is highlighted in yellow.Inactivation of the tumor suppressor
protein p53 by destabilizing
mutations is frequently a crucial step in oncogenesis, and p53 is
mutated in approximately half of human cancers.[20] However, reversing the effects of such mutations is difficult,
and p53 itself is often considered undruggable, although its interactions
with its negative regulators MDM2 and MDM4 can be targeted.[21] We have previously designed a novel class of
biologically active small-molecule stabilizers that bind to a mutation-induced
surface crevice in the DNA-binding domain of the p53 cancer mutant
Y220C[14] and inhibit mutant aggregation.[22] A key feature of this class is a central iodophenol
moiety that forms a halogen bond with the carbonyl oxygen of Leu145
at the bottom of the binding pocket. Systematic analysis of the PDB
and evaluation of all attractive iodine···carbonyl
contacts by our QM-based scoring function XBScore(23) revealed that the representatives of
this series of p53 stabilizers consistently show one of the most favorable
interaction geometries reported to date. Here, we used this ligand
class to theoretically and experimentally study the effect of iodine-ethynyl
substitution and its implications for the bioisosterism of both groups.
Structural Formulas of the Three Compounds Used in
This Work
Affinities for p53-Y220C core
domain as measured by (direct) ITC are KD (PK5174) = 15.5 μM and KD (PK5176)
= 20.6 μM.[14] The affinity of PK5211
(3) was determined indirectly as KD (PK5211) = 271 μM by competition ITC with PK5174 (1); see also Figure .
Figure 2
Biophysical characterization of PK5211 (3) binding
to p53-Y220C DNA-binding domain. (a) Differential scanning fluorimetry
(DSF) shows concentration-dependent thermal stabilization of the mutant
protein. (b) 1H/15N-HSQC NMR shows that 3 perturbs and quenches specific residue signals upon binding,
consistent with its binding to the mutation-induced surface crevice.
(c, d) Competition ITC experiments: PK5174 (1) binds
to p53-Y220C with KD = 15.5 μM;
its binding affinity is shifted to KD =
44.2 μM upon addition of 500 μM of compound 3. The resulting affinity of 3 for p53-Y220C was then
calculated as KD = 271 μM.[24]
Biophysical characterization of PK5211 (3) binding
to p53-Y220C DNA-binding domain. (a) Differential scanning fluorimetry
(DSF) shows concentration-dependent thermal stabilization of the mutant
protein. (b) 1H/15N-HSQC NMR shows that 3 perturbs and quenches specific residue signals upon binding,
consistent with its binding to the mutation-induced surface crevice.
(c, d) Competition ITC experiments: PK5174 (1) binds
to p53-Y220C with KD = 15.5 μM;
its binding affinity is shifted to KD =
44.2 μM upon addition of 500 μM of compound 3. The resulting affinity of 3 for p53-Y220C was then
calculated as KD = 271 μM.[24]
Results
Biophysical
Studies
To assess the suitability of ethynyl substituents as bioisosteres
of aromatic iodo moieties, we compared the binding affinities of the
previously published p53-Y220C stabilizers PK5174 (tert-butyl N-[3-(3-{[4-(diethylamino)piperidin-1-yl]methyl}-4-hydroxy-5-iodophenyl)prop-2-yn-1-yl]carbamate; 1) and PK5176 (2-((4-(diethylamino)piperidin-1-yl)methyl)-6-iodo-4-(3-phenoxyprop-1-ynyl)phenol; 2)[14] with the ethynyl analogue
of 2, PK5211 (2-((4-(diethylamino)piperidin-1-yl)methyl)-6-ethynyl-4-(3-phenoxyprop-1-ynyl)phenol; 3) (structures in Scheme ). 3 was synthesized from compound 2 in a Sonogashira cross-coupling reaction with trimethylsilylacetylene
(Pd(PPh3)4, CuI, Et3N, THF, rt) followed
by removal of the trimethylsilyl group with TBAF and LC/MS purification.
Scheme 1
Structural Formulas of the Three Compounds Used in
This Work
Affinities for p53-Y220C core
domain as measured by (direct) ITC are KD (PK5174) = 15.5 μM and KD (PK5176)
= 20.6 μM.[14] The affinity of PK5211
(3) was determined indirectly as KD (PK5211) = 271 μM by competition ITC with PK5174 (1); see also Figure .
We assessed the binding of 3 to the stabilized DNA-binding
domain of the p53 mutant Y220C (residues 94–312) using an array
of biophysical techniques. In DSF experiments (e.g., Figure a), 3 behaved
as a mutant p53 stabilizer, inducing a concentration-dependent increase
of the protein melting point (Tm). Protein-observed
2D NMR (HSQC) experiments showed binding of 3 to the
protein with chemical shift perturbation (CSP) and quenching (line
broadening) of particular signals from within or close to the Y220C-induced
surface crevice. The iodinated analogue 2 binds to the
Y220C mutant in an intermediate exchange regime on the NMR time scale
with quenching of residue signals consistent with its ∼20 μM KD. 3 showed CSP for only some signals
while quenching others, as it did not bind as tightly as 2 (Figure b). We failed
to obtain suitable profiles for analysis from direct ITC titration
experiments for 3 and therefore determined its KD indirectly using competition ITC titrations
with a suitable ligand (1) that has a large enthalpy
of binding. In the presence of 500 μM of compound 3, the ITC binding affinity of 1 was shifted from 15.5
to 44.2 μM (Figure c, d). Using the competition binding equation of Zhang and
Zhang,[24] we obtained an estimated binding
affinity of ∼270 μM for 3. Because the competition
titration could not be performed at a c-value of 2 or higher, it was
not possible to reliably decompose ΔG into
ΔH and ΔS.[25]Binding modes of PK5176 (2, yellow carbons)
and PK5211
(3, green carbons) in complex with the p53-Y220C DNA-binding
domain by X-ray crystallography. Both compounds share a nearly identical
binding mode, with 3 shifted rigidly upward away from
Leu145 because of the increased length of its terminal ethynyl group.
The I···O halogen bond between 2 and the
protein is shown as a purple broken line, and the CH···O
hydrogen bond between 3 and the protein is shown as a
light green broken line.
Crystal Structures of Ligand Complexes
We determined
the crystal structure of the p53-Y220C-3 complex at a
resolution of 1.4 Å. The two acetylenic groups of the ligand
fulfill two different roles: (i) the central ethynyl moiety provides
a linear rigid linker and (ii) the terminal ethynyl substituent acts
as a hydrogen bond donor and iodo bioisostere. Overall, the binding
mode is essentially the same as for the parent compound (2, Figure ). The phenol
moiety binds to the center of the mutation-induced cavity, sandwiched
between several prolines and a valine of loops S3/S4 and S7/S8. The
phenol hydroxyl forms a hydrogen bond with a structural water molecule
and an intramolecular hydrogen bond with the piperidine amino group.
Via its acetylene linker, the ligand reaches into a different subsite
of the cavity where the benzamine moiety formed a CH···π
interaction with Pro153. As anticipated, the terminal acetylene group
forms a CH···O hydrogen bond with the main chain oxygen
of Leu145 at the bottom of the largely hydrophobic central cavity,
thus mimicking the halogen bond in 2. The distance between
the terminal carbon and the oxygen is 3.0 and 2.9 Å in chains
A and B, respectively, corresponding to a hydrogen bond of moderate
strength. As a result of the different distance between the donor
and the closest carbon in the aromatic ring of the ligand (Csp2-Csp-Csp = 2.6 Å versus Csp2-I = 2.1 Å), 3 is slightly shifted as a rigid body
by ∼0.5 Å along the longitudinal axis of the cavity compared
to 2, accompanied by similar small shifts of Pro153 and Pro222 in the flanking loops to accommodate
the ligand. The Csp-H···O angles in chains
A and B are 164.0° and 170.4°, respectively, a near-linear
arrangement in accordance with that previously observed for the halogen
bond formed by 2.
Figure 3
Binding modes of PK5176 (2, yellow carbons)
and PK5211
(3, green carbons) in complex with the p53-Y220C DNA-binding
domain by X-ray crystallography. Both compounds share a nearly identical
binding mode, with 3 shifted rigidly upward away from
Leu145 because of the increased length of its terminal ethynyl group.
The I···O halogen bond between 2 and the
protein is shown as a purple broken line, and the CH···O
hydrogen bond between 3 and the protein is shown as a
light green broken line.
In summary, exchanging the iodo
moiety in 2 by ethynyl in 3 led to an approximately
13-fold loss in affinity for the p53-Y220C mutant. Given the similarity
in the electrostatic potentials of iodine and ethynyl groups, and
data from previous studies,[5] this drastic
drop in affinity was somewhat surprising. X-ray crystallography revealed
a very similar binding mode for 2 and 3,
the only difference being a small rigid-body shift of the entire compound 3, owing to the slightly larger size of the ethynyl moiety.
To understand better the inherent reasons for the weaker potency of
compound 3, we conducted QM calculations on model systems
as a next step.
Quantum Chemical Calculations
Constrained
Binding Site Optimization
For feasibility
purposes, the binding sites of 2 and 3 in
both chain A and B of the asymmetric unit were reduced to residues
within 5 Å of the respective ligands, including two structural
water molecules (Figure ). The C- and N-termini of the selected amino acids were saturated
with a methyl group. For residues with alternative conformations (Pro150,
Glu221, and Thr230), the conformation with the highest occupancy in
the crystal structure was used. The protein was prepared at standard
settings with MOE2012.10.[26] After adding
hydrogen atoms, the binding sites comprised 343 atoms for both chains
of the p53-Y220C-2 structure (PDB ID: 4AGP) and 345 atoms for
both chains of p53-Y220C-3 (PDB ID: 5A7B), spanning residues
144–156, 219–224, and 228–231. Keeping the coordinates
of all heavy atoms frozen, the positions of the hydrogen atoms were
optimized at the TPSS-D3/def2-SV(P) level. Subsequently, the ligands’
complex formation energies were calculated. Using the optimized binding
site of chain A of 4AGP as a reference (set to ΔΔE = 0.0 kcal/mol),
the complex formation energy of chain B only differed by ΔΔE = +0.1 kcal/mol. In contrast, the complex formation energy
of 3 is considerably disfavored with ΔΔE = +5.0 kcal/mol (chain A of 5A7B) and +5.3 kcal/mol (chain B of 5A7B), which is in agreement
with the biophysical studies shown to favor 2 over 3. TPSS-D3/def2-SV(P) was chosen for this initial energy assessment
because of previous favorable experience with its performance combined
with Grimme’s dispersion correction (-D) in a systematic study
on halogen bonds in small model systems.[27,28] We additionally decided to forego the use of the computationally
more demanding triple-ζ basis sets in favor of modeling the
full binding site enclosing the ligand to capture all key protein–ligand
interactions.
Figure 4
Optimized binding sites of PK5176 (2) and
PK5211 (3). (a) Binding site of 2 with two
structural
waters comprising 343 atoms. (b) Binding site of 3 with
two structural waters comprising 345 atoms.
We performed further ab initio calculations on a MP2/def2-TZVPP level of theory using smaller model
systems to investigate in more detail whether the ethynyl···carbonyl
contact is disfavored in general or whether the particular binding
geometry plays a role.Optimized binding sites of PK5176 (2) and
PK5211 (3). (a) Binding site of 2 with two
structural
waters comprising 343 atoms. (b) Binding site of 3 with
two structural waters comprising 345 atoms.
Distance Scans
To understand better the differences
in interaction strength, we focused on the key interaction between
the ligand and the carbonyl oxygen of Leu145 (halogen bond vs CH···O
hydrogen bond). In our distance scans, Leu145 was represented as N-methylacetamide. For the ligands, we chose two model systems
of different sizes and properties, representing substructures of the
original ligands in their physiological protonation states: (i) 2-iodo-4,6-dimethylphenol
or 2-ethynyl-4,6-dimethylphenol as “capped methyl”,
the smallest substituted and uncharged fragments, and (ii) 1-(5-ethynyl-2-hydroxy-3-iodophenyl)-N,N-dimethylmethanaminium or 1-(3,5-diethynyl-2-hydroxyphenyl)-N,N-dimethylmethanaminium as “capped
amine”, the more realistic, positively charged model systems
including the protonated amine side chain (Figure a). Comparison of (i) and (ii) provides information
on the tuning effects of the protonated amine on the interaction with
the carbonyl oxygen. We have used this approach and similar model
systems to systematically characterize halogen bonds with various
interaction partners in recent years.[27,29,30] All interaction geometries were extracted from chains
A and B of the respective crystal structures of the complexes formed
by 2 (4AGP) and 3 (5A7B). Hydrogen atoms were added to the model systems and
optimized using the MP2/def2-TZVPP level of theory. Coordinates of
heavy atoms were kept frozen. Starting from the optimized geometries,
the distance between ligand and carbonyl oxygen was changed in steps
of 0.1 Å, and interaction energies were calculated. Figure b shows interaction
energies as a function of the distance between the iodo- or ethynyl-substituted
aromatic carbon atom of the scaffold and the carbonyl oxygen.
Figure 5
Distance scans of ligands
derived from PK5176 (2)
and PK5211 (3) with N-methylacetamide.
(a) Ligand and carbonyl oxygen model systems used for the distance
scans. (b) Distance scan plots for the four ligand models with N-methylacetamide. Labels next to the plotted curves denote
whether the starting geometries were derived from chain A or B of
the respective crystal structures. Black dots indicate the bond distance
observed in the crystal structure.
For the smaller model systems, “capped methyl” 2 and 3, we found minimum/optimal geometries
with very similar complex formation energies (ΔE = −4.5 kcal/mol (chain A) and −4.8 kcal/mol (chain
B) for 2, ΔE = −4.7 kcal/mol
for 3, Table ), albeit at different equilibrium distances. Comparison of
the computed equilibrium distances for both compounds with the actual
distances found in the crystal structures (annotated by black dots
in Figure b) revealed
that the ethynyl···carbonyl contact of 3 is disfavored because the ligand is forced into a slightly too close
C–H···O contact due to the spatial constraints
of the binding site. For the larger model systems, “capped
amine” 2 and 3, we observed several
important differences. The positive charge located at the protonated
amine withdraws electron density from the halogen and ethynyl group
and significantly increases the overall interaction energy for both
systems. This effect is further amplified by a reinforced intramolecular
hydrogen bond between the protonated amine and the phenol oxygen,
which in turn donates a weak hydrogen bond onto the negative electrostatic
belt of either the iodine or the ethynyl π electron density
(see also Figures a and 4). Interestingly, this tuning effect
is much stronger for the I···O halogen bond; here,
the interaction energy ΔE at equilibrium distance
is approximately −10 kcal/mol, whereas the C–H···O
contact is “only” tuned to approximately −8.8
kcal/mol. In line with the increase in interaction energy, the equilibrium
distances are reduced by approximately 0.1–0.2 Å for both
systems and in both chains. In conclusion, our QM studies indicate
that the I···O halogen bond in the complex of 2 is favored compared with the “nonclassical hydrogen
bond” in the complex of 3, most likely through
a combination of its superior polarizability (tuning effect), its
more suitable interaction geometry, and the better overall accommodation
of the ligand within the binding pocket.
Table 1
Complex
Formation Energies and Distances
for Ligand Models Interacting with N-Methylacetamide
(“Leu145”)
structure
(chain)
ΔE (kcal/mol) of crystal structure
geometry
distance
Caro···O [Å] in crystal structure
best overall
ΔE (kcal/mol)
ideal
distance
Caro···O [Å]
5176 capped methyl
(A)
–4.5
5.18
–4.5
5.08
5176 capped methyl (B)
–4.8
5.10
–4.8
5.10
5211 capped methyl
(A)
–4.5
5.54
–4.7
5.77
5211 capped methyl (B)
–3.4
5.45
–4.7
5.75
5176 capped amine
(A)
–9.2
5.18
–9.8
4.98
5176 capped amine (B)
–9.9
5.10
–10.3
4.90
5211 capped amine
(A)
–8.8
5.54
–8.8
5.57
5211 capped amine (B)
–8.1
5.45
–8.7
5.65
Distance scans of ligands
derived from PK5176 (2)
and PK5211 (3) with N-methylacetamide.
(a) Ligand and carbonyl oxygen model systems used for the distance
scans. (b) Distance scan plots for the four ligand models with N-methylacetamide. Labels next to the plotted curves denote
whether the starting geometries were derived from chain A or B of
the respective crystal structures. Black dots indicate the bond distance
observed in the crystal structure.
Conclusions and Discussion
We have used 2, a stabilizing small molecule that
binds to the p53 cancer mutant Y220C via a halogen bond,[14] to evaluate whether ethynyl is a suitable halogen
bioisostere in cases where the halogen forms a halogen bond with a
backbone oxygen. Similar halogen-to-hydrogen bond substitutions replacing
bromine/iodine with an amine group have very recently been reported
for inhibitors of human aldose reductase.[31] Although iodine-to-ethynyl transformation appeared to maintain the
affinity reasonably well in a series of 1,4-benzodiazepine-2,5-dione
inhibitors of the HDM2-p53 interaction,[5] we have found that in our test case, the transformation led to an
approximately 13-fold loss in affinity. Our QM calculations suggest
that the most probable reason for this affinity loss is the larger
extent of the ethynyl moiety compared to iodine, which cannot be properly
accommodated in the p53-Y220C binding site without causing a significant
shift in the overall placement of the ligand scaffold. In addition,
the larger polarizability of iodine allows its halogen bond to be
tuned more strongly by the proximal protonated amine moiety. It should
be noted that our QM calculations only represent adduct formation
energies (ΔE) and do not take into account
solvation/desolvation, relative conformational energies, or entropy.QM distance scans indicated that comparable interaction energies
can be achieved for the halogen bond and the nonclassical hydrogen
bond if the interaction distances approach their optimal value. The
ideal distance between the substituted aromatic carbon atom of the
scaffold and the carbonyl oxygen is ∼0.7 Å longer for
the ethynyl system than for the iodinated system (Table ). Accordingly, an ethynyl moiety
can be equally good or even superior when replacing iodine (or chlorine
or bromine) bound in a suboptimal geometry with a too long halogen
bond distance. It is also worthwhile to note that from a certain Caro···O distance (of ∼5.5 Å) onward,
the ethynyl moiety is always energetically favored (see intersection
points in Figure ).
In addition, the ethynyl moiety bears a much stronger electronegative
belt than the halogens (Cl/Br/I), which can be targeted by orthogonal
“side-on” interactions from adjacent residues in the
binding site. Another possible advantage of an ethynyl moiety is the
reduced directionality compared with a halogen bond. The polarized
hydrogen is less shielded than the σ-hole by a proximal negative
electrostatic belt. Deviations from the optimal linear hydrogen bond
angle αC–H···O are therefore
better tolerated than deviations from the optimal σ-hole angle
αC-X···O (see Figure S1).In terms of synthetic accessibility, an
ethynyl moiety can be easily
introduced starting from an iodinated or brominated precursor in a
Sonogashira cross-coupling with trimethylsilylacetylene followed by
deprotection, which makes comparisons of Br and I with ethynyl a straightforward
task to tune affinities and physicochemical properties of tool compounds.
Although there may still be some concerns regarding the incorporation
of ethynyl groups (and also iodines) in druglike molecules, the erlotinib
example shows that replacing a halogen with an ethynyl moiety can
be used successfully for lead optimization.[17−19] Halogen to
acetylene bioisosteric transformation should therefore be explored,
especially in cases where weak halogen bonds (at suboptimal distances
and σ-hole angles) could be improved by the acetylene moiety
without perturbing or disrupting other key interactions caused by
a shift of the ligand scaffold.
Experimental
Section
Molecular Modeling
The model systems for the binding
site and the distance scans were extracted from crystal structures 4AGL and 5A7B. Hydrogen atoms
were then added to the molecules, and their orientations were optimized
using the Protonate3D feature within Molecular Operating Environment
(MOE) 2012.10[26] using default parameters.
All quantum mechanical calculations were conducted using the TURBOMOLE
6.4 suite of programs.[32,33] Relativistic effects for iodine
were considered by an effective core potential (ECP) in the respective
basis set. The calculations were done in combination with the resolution
of identity (RI) technique.[34] For MP2,
the frozen core approximation was used. The frozen core orbitals were
attributed by the default setting in TURBOMOLE, by which all orbitals
possessing energies below 3.0 au are considered core orbitals. The
SCF convergence criterion was increased to 10–8 Hartree
for all calculations.
Constrained Binding Site Optimization
Optimization
was performed using TPSS-D3/def2-SV(P),[35−38] and the coordinates of the heavy
atoms were kept frozen. Complex formation energies were calculated
as ΔE = E(complex) – E(binding site) – E(ligand).
Distance
Scans
Geometries for the distance scans were
optimized using the MP2/def2-TZVPP[38,39] level of theory.
During the optimization, heavy atoms were kept frozen. Starting from
these optimized geometries, the distance of the ligand (neighboring
aromatic carbon atom of the halogen bond donating iodine) to the oxygen
of N-methylacetamide was altered in steps of 0.1
Å. For each step, single point calculations were performed using
MP2/def2-TZVPP. Interaction energies were calculated as ΔE = E(complex) – E(N-methylacetamide) – E(ligand).
Protein Expression and Purification
The stabilized
DNA-binding domain of the p53 mutant Y220C, T-p53-Y220C,
was expressed and purified as described.[40] For the expression of 15N-labeled protein for NMR experiments,
M9 minimal medium with 15NH4Cl (1 g/L) as the
sole nitrogen source was used.
Chemical Compounds
Compounds PK5174 (1), PK5176 (2), and PK5211
(3) were synthesized
by Roowin (Romainville, France). For all compounds, compound identity
and >95% purity by LC–MS and NMR were guaranteed by the
supplier.
Differential Scanning Fluorimetry (DSF)
The effect
of compounds on the melting temperature of T-p53C-Y220C were monitored
using SYPRO Orange (Invitrogen, USA) as a fluorescent probe, which
quantitatively binds to hydrophobic protein patches exposed upon thermal
denaturation. Real-time melt analysis was performed using a Corbett
Rotor-Gene 6000 real-time qPCR thermocycler. Excitation and emission
filters were set to 460 and 510 nm, respectively. Heating from 28
to 60 °C, a constant heating rate of 270 K/h was applied. The
protein (final concentration of 10 μM) was briefly mixed with
SYPRO orange (10x) in buffer (25 mM KPi pH 7.2, 150 mM NaCl, 1 mM
TCEP), and compound (5 mM) dissolved in DMSO was added to give a final
compound concentration of 250 μM in 5% (v/v) DMSO. The melting
temperature (Tm) of the protein (10 μM)
in the presence of compounds was determined from the inflection point
of the melting curve. Melting temperatures were compared with control
samples without compound (yielding ΔTm DSF). All samples were measured in triplicate.
NMR Spectroscopy
1H/15N-HSQC
spectra of uniformly 15N-labeled T-p53-Y220C (75 μM)
with and without compounds were acquired at 20 °C on a Bruker
Avance-800 spectrometer using a 5 mm inverse cryogenic probe. Samples
were prepared by adding dilutions of compound from stock solutions
in DMSO-d6 to a final concentration of
5% (v/v) DMSO-d6 in buffer. All HSQC spectra
were acquired with 8 transients per t1 data point, 1024
data points in t2, and 64 complex data points in t1, with spectral widths of 11.0 kHz for 1H and 2.7
kHz for 15N, and a recycle delay of 800 ms. After zero
filling, forward complex linear prediction in f1 and Fourier
transformation, the digital resolution was 0.01 ppm/point for 1H and 0.13 ppm/point for 15N. Chemical shifts were
considered significant if the average weighted 1H/15N chemical shift differencewas greater than 0.04 ppm.
Isothermal Titration Calorimetry (ITC)
All ITC experiments
were conducted using a Microcal iTC200 calorimeter as previously described.[14] Briefly, protein and compounds were dissolved
in 25 mM KPi, pH 7.2, 150 mM NaCl, 1 mM TCEP in 5% (v/v) DMSO. The
cell unit contained 80 μM protein, and 2 mM compound was used
for the syringe. The ITC competition experiment was conducted using
500 μM of compound 3 and 50 μM protein for
the cell sample and 2 mM of compound 1 in the syringe.
The actual and apparent binding constants for 1 were
calculated with MicroCal Origin software using a standard one-site
model. The binding constant of 3 was then calculated
using an equation for ITC displacement titrations described by Zhang
and Zhang[24]
X-Ray Crystallography
Crystals of T-p53C-Y220C were
grown using the sitting-drop vapor diffusion technique as described
previously.[41] They were soaked for 3 h
in a solution of 30 mM ligand in cryo buffer (19% polyethylene glycol
4000, 20% glycerol, 10 mM sodium phosphate, pH 7.2, 100 mM Hepes,
pH 7.2, 150 mM KCl) and flash frozen in liquid nitrogen. An X-ray
data set was collected at 100 K at beamline I03 of the Diamond Light
Source, Oxford, and processed with XDS[42] and SCALA.[43] The structure of 3 bound to p53-Y220C was solved with difference Fourier techniques
using the structure of the ligand-free mutant (PDB ID: 2J1X) as the starting
model. After an initial round of refinement with PHENIX,[44] water molecules were added to the structures
using the same program. At this stage, the compound was built into
the structure using Coot,[45] and the resulting
models were further refined with PHENIX and Coot. Data collection
and refinement statistics are summarized in Table . The coordinates and structure factors are
deposited in the Protein Data Bank (PDB ID: 5A7B).
Table 2
X-Ray Data Collection and Refinement
Statistics of p53-Y220C-3 Complex
Data Collection
space group
P212121
a, b, c (Å)
65.12, 71.11, 105.11
molecules (AU)
2
resolution (Å)a
29.6–1.40 (1.48–1.40)
unique reflections
94,496
completeness (%)a
99.9 (99.9)
multiplicitya
5.3 (5.2)
Rmerge (%)a,b
6.4 (50.7)
<I/σI>a
13.0 (3.2)
Wilson
B value (Å2)
14.8
Refinement
no. of protein atomsc
3162
no. of water atoms
615
no. of zinc atoms
2
no. of ligand atoms
62
overall B value (Å2)
19.5
Rcryst (%)d
17.6
Rfree (%)d
19.2
RMSD bonds (Å)
0.006
RMSD angles (deg)
1.1
PDB
ID
5A7B
Values in parentheses are for the
highest-resolution shell.
Rmerge = ∑(Ih,i – )/∑Ih,i
Number includes alternative conformations.
Rcryst and Rfree = ∑∥Fobs| –
|Fcalc∥/∑|Fobs|, where Rfree was calculated
over 5% of the amplitudes chosen at random and not used in the refinement.
Values in parentheses are for the
highest-resolution shell.Rmerge = ∑(Ih,i – )/∑Ih,iNumber includes alternative conformations.Rcryst and Rfree = ∑∥Fobs| –
|Fcalc∥/∑|Fobs|, where Rfree was calculated
over 5% of the amplitudes chosen at random and not used in the refinement.
Authors: Jindřich Fanfrlík; Francesc X Ruiz; Aneta Kadlčíková; Jan Řezáč; Alexandra Cousido-Siah; André Mitschler; Susanta Haldar; Martin Lepšík; Michal H Kolář; Pavel Majer; Alberto D Podjarny; Pavel Hobza Journal: ACS Chem Biol Date: 2015-05-06 Impact factor: 5.100
Authors: Jonathan E Tsang; Lorenz M Urner; Gyudong Kim; Kingsley Chow; Lynn Baufeld; Kym Faull; Timothy F Cloughesy; Peter M Clark; Michael E Jung; David A Nathanson Journal: ACS Med Chem Lett Date: 2020-05-01 Impact factor: 4.345
Authors: Jerson L Silva; Carolina G S Lima; Luciana P Rangel; Giulia D S Ferretti; Fernanda P Pauli; Ruan C B Ribeiro; Thais de B da Silva; Fernando C da Silva; Vitor F Ferreira Journal: Biomolecules Date: 2020-04-20
Authors: Matthias R Bauer; Rhiannon N Jones; Raysa K Tareque; Bradley Springett; Felix A Dingler; Lorena Verduci; Ketan J Patel; Alan R Fersht; Andreas C Joerger; John Spencer Journal: Future Med Chem Date: 2019-10 Impact factor: 3.808