Thermodynamic criterion for the conformation of P1 residues of substrates and of inhibitors in complexes with serine proteinases.

Eglin c, turkey ovomucoid third domain, and bovine pancreatic trypsin inhibitor (Kunitz) are all standard mechanism, canonical protein inhibitors of serine proteinases. Each of the three belongs to a different inhibitor family. Therefore, all three have the same canonical conformation in their combining loops but differ in their scaffoldings. Eglin c (Leu45 at P1) binds to chymotrypsin much better than its Ala45 variant (the difference in standard free energy changes on binding is -5.00 kcal/mol). Similarly, turkey ovomucoid third domain (Leu18 at P1) binds to chymotrypsin much better than its Ala18 variant (the difference in standard free energy changes on binding is -4.70 kcal/mol). As these two differences are within the +/-400 cal/mol bandwidth (expected from the experimental error), one can conclude that the system is additive. On the basis that isoenergetic is isostructural, we expect that within both the P1 Ala pair and the P1 Leu pair, the conformation of the inhibitor's P1 side chain and of the enzyme's specificity pocket will be identical. This is confirmed, within the experimental error, by the available X-ray structures of complexes of bovine chymotrypsin Aalpha with eglin c () and with turkey ovomucoid third domain (). A comparison can also be made between the structures of P1 (Lys+)15 of bovine pancreatic trypsin inhibitor (Kunitz) ( and ) and of the P1 (Lys+)18 variant of turkey ovomucoid third domain (), both interacting with chymotrypsin. In this case, the conformation of the side chains is strikingly different. Bovine pancreatic trypsin inhibitor with (Lys+)15 at P1 binds to chymotrypsin more strongly than its Ala15 variant (the difference in standard free energy changes on binding is -1.90 kcal/mol). In contrast, turkey ovomucoid third domain variant with (Lys+)18 at P1 binds to chymotrypsin less strongly than its Ala18 variant (the difference in standard free energies of association is 0.95 kcal/mol). In this case, P1 Lys+ is neither isostructural nor isoenergetic. Thus, a thermodynamic criterion for whether the conformation of a P1 side chain in the complex matches that of an already determined one is at hand. Such a criterion may be useful in reducing the number of required X-ray crystallographic structure determinations. More importantly, the criterion can be applied to situations where direct determination of the structure is extremely difficult. Here, we apply it to determine the conformation of the Lys+ side chain in the transition state complex of a substrate with chymotrypsin. On the basis of kcat/KM measurements, the difference in free energies of activation for Suc-AAPX-pna when X is Lys+ and X is Ala is 1.29 kcal/mol. This is in good agreement with the corresponding difference for turkey ovomucoid third domain variants but in sharp contrast to the bovine pancreatic trypsin inhibitor (Kunitz) data. Therefore, we expect that in the transition state complex of this substrate with chymotrypsin, the P1 Lys+ side chain is deeply inserted into the enzyme's specificity pocket as it is in the (Lys+)18 turkey ovomucoid third domain complex with chymotrypsin.     

Computational analysis of binding of P1 variants to trypsin

The binding of P1 variants of bovine pancreatic trypsin inhibitor (BPTI) to trypsin has been investigated by means of molecular dynamics simulations. The specific interaction formed between the amino acid at the primary binding (P1) position of the binding loop of BPTI and the specificity pocket of trypsin was estimated by use of the linear interaction energy (LIE) method. Calculations for 13 of the naturally occurring amino acids at the P1 position were carried out, and the results obtained were found to correlate well with the experimental binding free energies. The LIE calculations rank the majority of the 13 variants correctly according to the experimental association energies and the mean error between calculated and experimental binding free energies is only 0.38 kcal/mole, excluding the Glu and Asp variants, which are associated with some uncertainties regarding protonation and the possible presence of counter-ions. The three-dimensional structures of the complex with three of the P1 variants (Asn, Tyr, and Ser) included in this study have not at present been solved by any experimental techniques and, therefore, were modeled on the basis of experimental data from P1 variants of similar size. Average structures were calculated from the MD simulations, from which specific interactions explaining the broad variation in association energies were identified. The present study also shows that explicit treatment of the complex water-mediated hydrogen bonding network at the protein-protein interface is of crucial importance for obtaining reliable binding free energies. The successful reproduction of relative binding energies shows that this type of methodology can be very useful as an aid in rational design and redesign of biologically active macromolecules.     

Analysis of the binding energies of testosterone, 5alpha-dihydrotestosterone,androstenedione and dehydroepiandrosterone sulfate with an antitestosterone antibody

Molecular dynamics simulations and molecular mechanics-Poisson-Boltzmann surface area (MM-PBSA) free energy calculations were used to study the binding of testosterone (TES), 5alpha-dihydrotestosterone (5ADHT), androstenedione (AND), and dehydroepiandrosterone sulfate (DHEAS) to the monoclonal antitestosterone antibody 3-C(4)F(5). The relative binding free energy of TES and AND was also calculated with free energy perturbation (FEP) simulations. The antibody 3-C(4)F(5) has a relatively high affinity (3 x 10(8) M(-1)) and on overall good binding profile for testosterone but its cross-reactivity with DHEAS has been the main reason for the failure to use this antibody in clinical immunoassays. The relative binding free energies obtained with the MM-PBSA method were 1.5 kcal/mol for 5ADHT, 3.8 kcal/mol for AND, and 4.3 kcal/mol for DHEAS, as compared to TES. When a water molecule of the ligand binding site, observed in the antibody-TES crystal structure, was explicitly included in MM-PBSA calculations, the relative binding energies were 3.4, 4.9, and 5.4 kcal/mol for 5ADHT, AND, and DHEAS, respectively. The calculated numbers are in correct order but larger than the corresponding experimental energies of 1.3, 1.5, and 2.6 kcal/mol, respectively. The fact that the MM-PBSA method reproduced the relative binding free energies of DHEAS, a steroid having a negatively charged sulfate group, and the neutrally charged TES, 5ADHT, and AND in satisfactory agreement with experiment shows the robustness of the method in predicting relative binding affinities. The 800-ps FEP simulations predicted that the antibody 3-C(4)F(5) binds TES 1.3 kcal/mol tighter than AND. Computational mutagenesis of selected amino acid residues of the ligand binding site revealed that the lower affinities of AND and DHEAS as compared to TES are due to a combined effect of several residues, each contributing a small fraction to the tighter binding of TES. An exception to this is Tyr99H, whose mutation to Ala lowered the binding of DHEAS 0.7 kcal/mol more than the binding of TES. This is probably due to the hydrogen bonding interaction formed between the OH group of Tyr99H and the sulfate group of DHEAS. Computational mutagensis data also showed that the affinity of the steroids to the antitestosterone antibody 3-C(4)F(5) would be enhanced if Trp47H were repositioned so that it would make more extensive contacts with the bound ligands. In addition, the binding of steroids to antitestosterone, antiprogesterone, and antiestradiol antibodies is discussed.     

Free energy of charges in solvated proteins: microscopic calculations using a reversible charging process

Evaluation of the free energy of ionization of acidic groups in proteins may be used as a powerful and general test case for determining the reliability of calculations of electrostatic energies in macromolecules. This work attacks this test case by using an adiabatic charging process that evaluates the changes in free energies associated with ionizing the acidic groups Asp-3 and Glu-7 in bovine pancreatic trypsin inhibitor and aspartic acid in solution. The results of these free energy calculations are very encouraging; the error range is about 1 kcal/mol for these free energy changes of about-70 kcal/mol. This indicates that we are finally approaching the stage of obtaining quantitative results in modeling the energetics of solvated proteins.     

Probing the effect of point mutations at protein-protein interfaces with free energy calculations

We have studied the effect of point mutations of the primary binding residue (P1) at the protein-protein interface in complexes of chymotrypsin and elastase with the third domain of the turkey ovomucoid inhibitor and in trypsin with the bovine pancreatic trypsin inhibitor, using molecular dynamics simulations combined with the linear interaction energy (LIE) approach. A total of 56 mutants have been constructed and docked into their host proteins. The free energy of binding could be reliably calculated for 52 of these mutants that could unambiguously be fitted into the binding sites. We find that the predicted binding free energies are in very good agreement with experimental data with mean unsigned errors between 0.50 and 1.03 kcal/mol. It is also evident that the standard LIE model used to study small drug-like ligand binding to proteins is not suitable for protein-protein interactions. Three different LIE models were therefore tested for each of the series of protein-protein complexes included, and the best models for each system turn out to be very similar. The difference in parameterization between small drug-like compounds and protein point mutations is attributed to the preorganization of the binding surface. Our results clearly demonstrate the potential of free energy calculations for probing the effect of point mutations at protein-protein interfaces and for exploring the principles of specificity of hot spots at the interface.     

Theoretical study of the ligand-CYP2B4 complexes: effect of structure on binding free energies and heme spin state

The molecular origins of temperature-dependent ligand-binding affinities and ligand-induced heme spin state conversion have been investigated using free energy analysis and DFT calculations for substrates and inhibitors of cytochrome P450 2B4 (CYP2B4), employing models of CYP2B4 based on CYP2C5(3LVdH)/CYP2C9 crystal structures, and the results compared with experiment. DFT calculations indicate that large heme-ligand interactions (ca. -15 kcal/mol) are required for inducing a high to low spin heme transition, which is correlated with large molecular electrostatic potentials (approximately -45 kcal/mol) at the ligand heteroatom. While type II ligands often contain oxygen and nitrogen heteroatoms that ligate heme iron, DFT results indicate that BP and MF heme complexes, with weak substrate-heme interactions (ca. -2 kcal/mol), and modest MEPS minima (>-35 kcal/mol) are high spin. In contrast, heme complexes of the CYP2B4 inhibitor, 4PI, the product of benzphetamine metabolism, DMBP, and water are low spin, have substantial heme-ligand interaction energies (<-15 kcal/mol) and deep MEPS minima (<-45 kcal/mol) near their heteroatoms. MMPBSA analysis of MD trajectories were made to estimate binding free energies of these ligands at the heme binding site of CYP2B4. In order to initially assess the realism of this approach, the binding free energy of 4PI inhibitor was computed and found to be a reasonable agreement with experiment: -7.7 kcal/mol [-7.2 kcal/mol (experiment)]. BP was determined to be a good substrate [-6.3 kcal/mol (with heme-ligand water), -7.3 kcal/mol (without ligand water)/-5.8 kcal/mol (experiment)], whereas the binding of MF was negligible, with only marginal binding binding free energy of -1.7 kcal/mol with 2-MF bound [-3.8 kcal/mol (experiment)], both with and without retained heme-ligand water. Analysis of the free energy components reveal that hydrophobic/nonpolar contributions account for approximately 90% of the total binding free energy of these substrates and are the source of their differential and temperature-dependent CYP2B4 binding. The results indicate the underlying origins of the experimentally observed differential binding affinities of BP and MF, and indicate the plausibility of the use of models derived from moderate sequence identity templates in conjunction with approximate free energy methods in the estimation of ligand-P450 binding affinities.     

What can the structures of enzyme-inhibitor complexes tell us about the structures of enzyme substrate complexes?

Proteinases perform many beneficial functions that are essential to life, but they are also dangerous and must be controlled. Here we focus on one of the control mechanisms: the ubiquitous presence of protein proteinase inhibitors. We deal only with a subset of these: the standard mechanism, canonical protein inhibitors of serine proteinases. Each of the inhibitory domains of such inhibitors has one reactive site peptide bond, which serves all the cognate enzymes as a substrate. The reactive site peptide bond is in a combining loop which has an identical conformation in all inhibitors and in all enzyme-inhibitor complexes. There are at least 18 families of such inhibitors. They all share the conformation of the combining loops but each has its own global three-dimensional structure. Many three-dimensional structures of enzyme-inhibitor complexes were determined. They are frequently used to predict the conformation of substrates in very short-lived enzyme-substrate transition state complexes. Turkey ovomucoid third domain and eglin c have a Leu residue at P(1). In complexes with chymotrypsin, these P(1) Leu residues assume the same conformation. The relative free energies of binding of P(1) Leu (relative to either P(1) Gly or P(1) Ala) are within experimental error, the same for complexes of turkey ovomucoid third domain, eglin c, P(1) Leu variant of bovine pancreatic trypsin inhibitor and of a substrate with chymotrypsin. Therefore, the P(1) Leu conformation in transition state complexes is predictable. In contrast, the conformation of P(1) Lys(+) is strikingly different in the complexes of Lys(18) turkey ovomucoid third domain and of bovine pancreatic trypsin inhibitor with chymotrypsin. The relative free energies of binding are also quite different. Yet, the relative free energies of binding are nearly identical for Lys(+) in turkey ovomucoid third domain and in a substrate, thus allowing us to know the structure of the latter. Similar reasoning is applied to a few other systems.     

Calculations of electrostatic energies in proteins. The energetics of ionized groups in bovine pancreatic trypsin inhibitor

The importance of including different energy contributions in calculations of electrostatic energies in proteins is examined by calculating the intrinsic pKa values of the acidic groups of bovine pancreatic trypsin inhibitor. It appears that such calculations provide a powerful and revealing test; the relevant solvation energies of the ionized acids are of the order of -70 kcal/mol (1 cal = 4.184 J), and microscopic calculations that do not attempt to simulate the complete protein dielectric effect (including the surrounding solvent) can underestimate the solvation energy by as much as 50 kcal/mol. Reproducing correctly, by the same set of parameters, the solvation energies of ionized acids in different sites of a protein cannot be accomplished by including only part of the key energy contributions. The problems associated with macroscopic calculations are also considered and illustrated by the specific case of bovine pancreatic trypsin inhibitor. A promising approach is shown to be provided by a refinement of the previously developed Protein Dipoles Langevin Dipoles model. This model seems to represent consistently the microscopic dielectric of the protein and the surrounding water molecules. The model overcomes the problems associated with the macroscopic models (by treating explicitly the solvent molecules) and avoids the convergence problems associated with all-atom solvent models (by treating the average solvent polarization rather than averaging the actual polarization energy). This paper describes in detail the actual implementation of the model and examines its performance in evaluating intrinsic pKa values. Preliminary microscopic considerations of charge-charge interactions are presented.     

Receptor rigidity and ligand mobility in trypsin-ligand complexes

The trypsin-like serine proteases comprise a structurally similar family of proteins with a wide diversity of biological functions. Members of this family play roles in digestion, hemostasis, immune responses, and cancer metastasis. Bovine trypsin is an archetypical member of this family that has been extensively characterized both functionally and structurally, and that preferentially hydrolyzes Arg/Lys-Xaa peptide bonds. We have used molecular dynamics (MD) simulations to study bovine trypsin complexed with the two noncovalent small-molecule ligands, benzamidine and tranylcypromine, that have the same hydrogen-bond donating moieties as Arg and Lys side-chains, respectively. Multiple (10) simulations ranging from 1 ns to 2.2 ns, with explicit water molecules and periodic boundary conditions, were performed. The simulations reveal that the trypsin binding pocket residues are relatively rigid regardless of whether there is no ligand, a high-affinity ligand (benzamidine), or a low-affinity ligand (tranylcypromine). The thermal average of the conformations sampled by benzamidine bound to trypsin is planar and consistent with the planar internal geometry of the benzamidine crystallographic model coordinates. However, the most probable bound benzamidine conformations are +/-25 degrees out of plane, implying that the observed X-ray electron density represents an average of densities from two mirror symmetric, nonplanar conformations. Solvated benzamidine has free energy minima at +/-45 degrees , and the induction of a more planar geometry upon binding is associated with approximately 1 kcal/mol of intramolecular strain. Tranylcypromine's hydrogen-bonding pattern in the MD differs substantially from that inferred from the X-ray electron density. Early in simulations of this system, tranylcypromine adopts an alternative binding conformation, changing from the crystallographic conformation, with a direct hydrogen bond between its amino moiety and the backbone oxygen of Gly219, to one having a bridging water molecule. This result is consistently seen with the CHARMM22, Amber, or OPLS-AA force fields. The trypsin-tranylcypromine hydrogen-bonding pattern observed in the simulations also occurs as the crystallographic binding mode of the Lys15 side-chain of bovine pancreatic trypsin inhibitor bound to trypsin. In this latter cocrystal, a bridging crystallographic water does reside between the side-chain's amino group and the trypsin Gly219 backbone oxygen. Furthermore, the trypsin-tranylcypromine simulations sample two different stable noncrystallographic binding poses. These data suggest that some of the electron density ascribed to tranylcypromine in the X-ray model is rather due to a bound water molecule, and that multiple tranylcypromine binding conformations (crystallographic disorder) may be the cause of ambiguous electron density. The combined trypsin-benzamidine and trypsin- tranylcypromine results highlight the ability of simulations to augment protein-ligand complex structural data by deconvoluting the effects of thermal and structural averaging, and by finding energetically optimal ligand and bound water positions for weakly bound ligands.     

Mapping the energetics of water-protein and water-ligand interactions with the "natural" HINT forcefield: predictive tools for characterizing the roles of water in biomolecules

The energetics and hydrogen bonding pattern of water molecules bound to proteins were mapped by analyzing structural data (resolution better than 2.3A) for sets of uncomplexed and ligand-complexed proteins. Water-protein and water-ligand interactions were evaluated using hydropatic interactions (HINT), a non-Newtonian forcefield based on experimentally determined logP(octanol/water) values. Potential water hydrogen bonding ability was assessed by a new Rank algorithm. The HINT-derived binding energies and Ranks for second shell water molecules were -0.04 kcal mol(-1) and 0.0, respectively, for first shell water molecules -0.38 kcal mol(-1) and 1.6, for active site water molecules -0.45 kcal mol(-1) and 2.3, for cavity water molecules -0.55 kcal mol(-1) and 3.3, and for buried water molecules -0.56 kcal mol(-1) and 4.4. For the last four classes, similar energies indicate that internal and external water molecules interact with protein almost equally, despite different degrees of hydrogen bonding. The binding energies and Ranks for water molecules bridging ligand-protein were -1.13 kcal mol(-1) and 4.5, respectively. This energetic contribution is shared equally between protein and ligand, whereas Rank favors the protein. Lastly, by comparing the uncomplexed and complexed forms of proteins, guidelines were developed for prediction of the roles played by active site water molecules in ligand binding. A water molecule with high Rank and HINT score is unlikely to make further interactions with the ligand and is largely irrelevant to the binding process, while a water molecule with moderate Rank and high HINT score is available for ligand interaction. Water molecule displaced for steric reasons were characterized by lower Rank and HINT score. These guidelines, tested by calculating HINT score and Rank for 50 water molecules bound in the active site of four uncomplexed proteins (for which the structures of the liganded forms were also available), correctly predicted the ultimate roles (in the complex) for 76% of water molecules. Some failures were likely due to ambiguities in the structural data.     

Theoretical study on the interaction of titanocene dichloride with deoxyguanosine monophosphate

The completely hydrolyzed titanocene dichloride, [Cp₂Ti(H₂O)₂]²⁺ binding to guanine (G) and phosphate group sites of DNA were investigated by DFT method, with using deoxyguanosine monophosphate (dGMP) as incoming ligand. In the first substitutions, the calculations reveal that the diaquated titanocene binding to O6 shows the lowest activation free energy with 17.9 kcal/mol, closely followed by N7 is 20.5 kcal/mol and the O of phosphate group is 26.3 kcal/mol, respectively. It was also found that all the titanation processes are mildly endothermic. In addition, for the Ti-B(dGMP) in all separated products, the bond dissociation free energies (BDFE) of Ti-O(P, P = phosphate) is higher than those of Ti-N7/O6. In the second substitutions, the reactions leading to the didentate adducts are considered. For bidentate-bridging N7, O6 binding mode, the path of the metal Ti binding to O6 has the lower activation free energy (11.3 kcal/mol) than that of the metal Ti binding to N7 (15.3 kcal/mol). For the bidentate-bridging N7, O(P) binding mode, the path of the metal Ti binding to O(P) has the lower activation free energies (25.3 kcal/mol) than that of the metal Ti binding to N7 (26.2 kcal/mol).     

Calorimetric examination of high-affinity Src SH2 domain-tyrosyl phosphopeptide binding: dissection of the phosphopeptide sequence specificity and coupling energetics

SH2 domains are protein modules which interact with specific tyrosine phosphorylated sequences in target proteins. The SH2 domain of the Src kinase binds with high affinity to a tyrosine phosphorylated peptide containing the amino acids Glu, Glu, and Ile (EEI) at the positions +1, +2, and +3 C-terminal to the phosphotyrosine, respectively. To investigate the degree of selectivity of the Src SH2 domain for each amino acid of the EEI motif, the binding thermodynamics of a panel of substitutions at the +1 (Gln, Asp, Ala, Gly), +2 (Gln, Asp, Ala, Gly), and +3 (Leu, Val, Ala, Gly) positions were examined using titration microcalorimetry. It was revealed that the Src SH2 domain is insensitive (DeltaDeltaG degrees 相似文献   

Glycogen phosphorylase inhibitors: a free energy perturbation analysis of glucopyranose spirohydantoin analogues

GP catalyzes the phosphorylation of glycogen to Glc-1-P. Because of its fundamental role in the metabolism of glycogen, GP has been the target for a systematic structure-assisted design of inhibitory compounds, which could be of value in the therapeutic treatment of type 2 diabetes mellitus. The most potent catalytic-site inhibitor of GP identified to date is spirohydantoin of glucopyranose (hydan). In this work, we employ MD free energy simulations to calculate the relative binding affinities for GP of hydan and two spirohydantoin analogues, methyl-hydan and n-hydan, in which a hydrogen atom is replaced by a methyl- or amino group, respectively. The results are compared with the experimental relative affinities of these ligands, estimated by kinetic measurements of the ligand inhibition constants. The calculated binding affinity for methyl-hydan (relative to hydan) is 3.75 +/- 1.4 kcal/mol, in excellent agreement with the experimental value (3.6 +/- 0.2 kcal/mol). For n-hydan, the calculated value is 1.0 +/- 1.1 kcal/mol, somewhat smaller than the experimental result (2.3 +/- 0.1 kcal/mol). A free energy decomposition analysis shows that hydan makes optimum interactions with protein residues and specific water molecules in the catalytic site. In the other two ligands, structural perturbations of the active site by the additional methyl- or amino group reduce the corresponding binding affinities. The computed binding free energies are sensitive to the preference of a specific water molecule for two well-defined positions in the catalytic site. The behavior of this water is analyzed in detail, and the free energy profile for the translocation of the water between the two positions is evaluated. The results provide insights into the role of water molecules in modulating ligand binding affinities. A comparison of the interactions between a set of ligands and their surrounding groups in X-ray structures is often used in the interpretation of binding free energy differences and in guiding the design of new ligands. For the systems in this work, such an approach fails to estimate the order of relative binding strengths, in contrast to the rigorous free energy treatment.     

Predicting Ligand Binding Affinity with Alchemical Free Energy Methods in a Polar Model Binding Site

We present a combined experimental and modeling study of organic ligand molecules binding to a slightly polar engineered cavity site in T4 lysozyme (L99A/M102Q). For modeling, we computed alchemical absolute binding free energies. These were blind tests performed prospectively on 13 diverse, previously untested candidate ligand molecules. We predicted that eight compounds would bind to the cavity and five would not; 11 of 13 predictions were correct at this level. The RMS error to the measurable absolute binding energies was 1.8 kcal/mol. In addition, we computed “relative” binding free energies for six phenol derivatives starting from two known ligands: phenol and catechol. The average RMS error in the relative free energy prediction was 2.5 kcal/mol (phenol) and 1.1 kcal/mol (catechol). To understand these results at atomic resolution, we obtained x-ray co-complex structures for nine of the diverse ligands and for all six phenol analogs. The average RMSD of the predicted pose to the experiment was 2.0 Å (diverse set), 1.8 Å (phenol-derived predictions), and 1.2 Å (catechol-derived predictions). We found that predicting accurate affinities and rank-orderings required near-native starting orientations of the ligand in the binding site. Unanticipated binding modes, multiple ligand binding, and protein conformational change all proved challenging for the free energy methods. We believe that these results can help guide future improvements in physics-based absolute binding free energy methods.     

Cooperativity of papain-substrate interaction energies in the S2 to S2' subsites

Enzyme-substrate contacts in the hydrolysis of ester substrates by the cysteine protease papain were investigated by systematically altering backbone hydrogen-bonding and side-chain hydrophobic contacts in the substrate and determining each substrate's kinetic constants. The observed specificity energies [defined as delta delta G obs = -RT ln [(kcat/KM)first/(kcat/KM)second)]] of the substrate backbone hydrogen bonds were -2.7 kcal/mol for the P2 NH and -2.6 kcal/mol for the P1 NH when compared against substrates containing esters at those sites. The observed binding energies were -4.0 kcal/mol for the P2 Phe side chain, -1.0 kcal/mol for the P1' C=O, and -2.3 kcal/mol for the P2' NH. The latter three values probably all significantly underestimate the incremental binding energies. The P2 NH, P2 Phe side-chain, and P1 NH contacts display a strong interdependence, or cooperativity, of interaction energies that is characteristic of enzyme-substrate interactions. This interdependence arises largely from the entropic cost of forming the enzyme-substrate transition state. As favorable contacts are added successively to a substrate, the entropic penalty associated with each decreases and the free energy expressed approaches the incremental interaction energy. This is the first report of a graded cooperative effect. Elucidation of favorable enzyme-substrate contacts remote from the catalytic site will assist in the design of highly specific cysteine protease inhibitors.     

The amino acid sequence of satyr tragopan lysozyme and its activity

The amino acid sequence of satyr tragopan lysozyme and its activity was analyzed. Carboxymethylated lysozyme was digested with trypsin and the resulting peptides were sequenced. The established amino acid sequence had three amino acid substitutions at positions 103 (Asn to Ser), 106 (Ser to Asn), and 121 (His to Gln) comparing with Temminck's tragopan lysozyme and five amino acid substitutions at positions 3 (Phe to Tyr), 15 (His to Leu), 41 (Gln to His), 101 (Asp to Gly) and 103 (Asn to Ser) with chicken lysozyme. The time course analysis using N-acetylglucosamine pentamer as a substrate showed a decrease of binding free energy change, 1.1 kcal/mol at subsite A and 0.2 kcal/mol at subsite B, between satyr tragopan and chicken lysozymes. This was assumed to be responsible for the amino acid substitutions at subsite A-B at position 101 (Asp to Gly), however another substitution at position 103 (Asn to Ser) considered not to affect the change of the substrate binding affinity by the observation of identical time course of satyr tragopan lysozyme with turkey and Temminck's tragopan lysozymes that carried the identical amino acids with chicken lysozyme at this position. These results indicate that the observed decrease of binding free energy change at subsites A-B of satyr tragopan lysozyme was responsible for the amino acid substitution at position 101 (Asp to Gly).     

Thermodynamics of amide hydrogen bond formation in polar and apolar solvents

We present the initial findings of a theoretical study of hydrogen bond formation between two formamide molecules in water and in carbon tetrachloride. These systems were chosen as the simplest models for secondary structure formation in the polar environment near the protein surface and the apolar environment of the protein interior. We have employed thermodynamic simulation methods to obtain absolute binding free energies and free energy profiles for the formation of peptide hydrogen bonds in the two solvents. We find that the amide hydrogen bond is stable by 8.4 kcal/mol in CCl4, and by 0.3 kcal/mol in water. Our results indicate also that the hydrogen-bonded dimer is 2.2 kcal/mol more stable in water than it is in CCl4. We compare our results with those from experiment, and discuss their use in interpreting mechanisms of protein folding.     

Interactions of the acid and base catalysts on staphylococcal nuclease as studied in a double mutant.

The mechanism of the phosphodiesterase reaction catalyzed by staphylococcal nuclease is believed to involve concerted general acid-base catalysis by Arg-87 and Glu-43. The mutual interactions of Arg-87 and Glu-43 were investigated by comparing kinetic and thermodynamic properties of the single mutant enzymes E43S (Glu-43 to Ser) and R87G (Arg-87 to Gly) with those of the double mutant, E43S + R87G, in which both the basic and acidic functions have been inactivated. Denaturation studies with guanidinium chloride, CD, and 600-MHz 1D and 2D proton NMR spectra, indicate all enzyme forms to be predominantly folded in absence of the denaturant and reveal small antagonistic effects of the E43S and R87G mutations on the stability and structure of the wild-type enzyme. The free energies of binding of the divalent cation activator Ca2+, the inhibitor Mn2+, and the substrate analogue 3',5'-pdTp show simple additive effects of the two mutations in the double mutant, indicating that Arg-87 and Glu-43 act independently to facilitate the binding of divalent cations and of 3',5'-pdTP by the wild-type enzyme. The free energies of binding of the substrate, 5'-pdTdA, both in binary E-S and in active ternary E-Ca(2+)-S complexes, show synergistic effects of the two mutations, suggesting that Arg-87 and Glu-43 interact anticooperatively in binding the substrate, possibly straining the substrate by 1.6 kcal/mol in the wild-type enzyme. The large free energy barriers to Vmax introduced by the R87G mutation (delta G1 = 6.5 kcal/mol) and by the E43S mutation (delta G2 = 5.0 kcal/mol) are partially additive in the double mutant (delta G1+2 = 8.1 kcal/mol). These partially additive effects on Vmax are most simply explained by a cooperative component to transition state binding by Arg-87 and Glu-43 of -3.4 kcal/mol. The combination of anticooperative, cooperative, and noncooperative effects of Arg-87 and Glu-43 together lower the kinetic barrier to catalysis by 8.1 kcal/mol.     

Insights into protein-protein binding by binding free energy calculation and free energy decomposition for the Ras-Raf and Ras-RalGDS complexes

Absolute binding free energy calculations and free energy decompositions are presented for the protein-protein complexes H-Ras/C-Raf1 and H-Ras/RalGDS. Ras is a central switch in the regulation of cell proliferation and differentiation. In our study, we investigate the capability of the molecular mechanics (MM)-generalized Born surface area (GBSA) approach to estimate absolute binding free energies for the protein-protein complexes. Averaging gas-phase energies, solvation free energies, and entropic contributions over snapshots extracted from trajectories of the unbound proteins and the complexes, calculated binding free energies (Ras-Raf: -15.0(+/-6.3)kcal mol(-1); Ras-RalGDS: -19.5(+/-5.9)kcal mol(-1)) are in fair agreement with experimentally determined values (-9.6 kcal mol(-1); -8.4 kcal mol(-1)), if appropriate ionic strength is taken into account. Structural determinants of the binding affinity of Ras-Raf and Ras-RalGDS are identified by means of free energy decomposition. For the first time, computationally inexpensive generalized Born (GB) calculations are applied in this context to partition solvation free energies along with gas-phase energies between residues of both binding partners. For selected residues, in addition, entropic contributions are estimated by classical statistical mechanics. Comparison of the decomposition results with experimentally determined binding free energy differences for alanine mutants of interface residues yielded correlations with r(2)=0.55 and 0.46 for Ras-Raf and Ras-RalGDS, respectively. Extension of the decomposition reveals residues as far apart as 25A from the binding epitope that can contribute significantly to binding free energy. These "hotspots" are found to show large atomic fluctuations in the unbound proteins, indicating that they reside in structurally less stable regions. Furthermore, hotspot residues experience a significantly larger-than-average decrease in local fluctuations upon complex formation. Finally, by calculating a pair-wise decomposition of interactions, interaction pathways originating in the binding epitope of Raf are found that protrude through the protein structure towards the loop L1. This explains the finding of a conformational change in this region upon complex formation with Ras, and it may trigger a larger structural change in Raf, which is considered to be necessary for activation of the effector by Ras.     

Molecular modelling studies unveil potential binding sites on human serum albumin for selected experimental and in silico COVID-19 drug candidate molecules

Human serum albumin (HSA) is the most prevalent protein in the blood plasma which binds an array of exogenous compounds. Drug binding to HSA is an important consideration when developing new therapeutic molecules, and it also aids in understanding the underlying mechanisms that govern their pharmacological effects. This study aims to investigate the molecular binding of coronavirus disease 2019 (COVID-19) therapeutic candidate molecules to HSA and to identify their putative binding sites. Binding energies and interacting residues were used to evaluate the molecular interaction. Four drug candidate molecules (β-D-N4-hydroxycytidine, Chloroquine, Disulfiram, and Carmofur) demonstrate weak binding to HSA, with binding energies ranging from −5 to −6.7 kcal/mol. Ivermectin, Hydroxychloroquine, Remdesivir, Arbidol, and other twenty drug molecules with binding energies ranging from −6.9 to −9.5 kcal/mol demonstrated moderate binding to HSA. The strong HSA binding drug candidates consist of fourteen molecules (Saquinavir, Ritonavir, Dihydroergotamine, Daclatasvir, Paritaprevir etc.) with binding energies ranging from −9.7 to −12.1 kcal/mol. All these molecules bind to different HSA subdomains (IA, IB, IIA, IIB, IIIA, and IIIB) through molecular forces such as hydrogen bonds and hydrophobic interactions. Various pharmacokinetic properties (gastrointestinal absorption, blood-brain barrier permeation, P-glycoprotein substrate, and cytochrome P450 inhibitor) of each molecule were determined using SwissADME program. Further, the stability of the HSA-ligand complexes was analyzed through 100 ns molecular dynamics simulations considering various geometric properties. The binding free energy between free HSA and compounds were calculated using Molecular mechanics Poisson–Boltzmann surface area (MM/PBSA) and molecular mechanics generalized Born surface area (MM/GBSA) approach. The findings of this study might be useful in understanding the mechanism of COVID-19 drug candidates binding to serum albumin protein, as well as their pharmacodynamics and pharmacokinetics.Keyword: Human serum albumin, HAS, Serum protein, COVID-19, Molecular docking, Molecular dynamics simulation, Pharmacokinetics, Pharmacodynamics