Conformational flexibility,binding energy,role of salt bridge and alanine-mutagenesis for c-Abl kinase complex

Abl kinase plays a decisive role in the mechanism of the most fatal human pathogen chronic mylogenous leukemia (CML). Here, we have carried out a comprehensive study about the conformational flexibility, role of salt bridge and the protein- ligand interaction for this kinase with its well-known inhibitor, Imatinib. We have performed molecular dynamics simulations for conformational behavior, investigated the salt bridges and calculated the binding free energy of Imatinib with MM-PB/SA method for Abl kinase complex. We also explored the role of salt-bridge in the kinase complex and its effect on binding activity of inhibitors. Furthermore, to investigate the importance of those residues which form salt bridges, we mutated them by Alanine with the help of Alanine scanning program. We noticed significant variations in total free energy of Imatinib in all possible mutations. The binding free energy of ligand for kinase receptor was analyzed by molecular mechanics Poission Boltzmann surface area (MM-PB/SA) method. These results suggest that conserved glutamic acid and lysine are necessary for stability of complex.     

A comparative study of trypsin specificity based on QM/MM molecular dynamics simulation and QM/MM GBSA calculation

Hydrogen bonding and polar interactions play a key role in identification of protein-inhibitor binding specificity. Quantum mechanics/molecular mechanics molecular dynamics (QM/MM MD) simulations combined with DFT and semi-empirical Hamiltonian (AM1d, RM1, PM3, and PM6) methods were performed to study the hydrogen bonding and polar interactions of two inhibitors BEN and BEN1 with trypsin. The results show that the accuracy of treating the hydrogen bonding and polar interactions using QM/MM MD simulation of PM6 can reach the one obtained by the DFT QM/MM MD simulation. Quantum mechanics/molecular mechanics generalized Born surface area (QM/MM-GBSA) method was applied to calculate binding affinities of inhibitors to trypsin and the results suggest that the accuracy of binding affinity prediction can be significantly affected by the accurate treatment of the hydrogen bonding and polar interactions. In addition, the calculated results also reveal the binding specificity of trypsin: (1) the amidinium groups of two inhibitors generate favorable salt bridge interaction with Asp189 and form hydrogen bonding interactions with Ser190 and Gly214, (2) the phenyl of inhibitors can produce favorable van der Waals interactions with the residues His58, Cys191, Gln192, Trp211, Gly212, and Cys215. This systematic and comparative study can provide guidance for the choice of QM/MM MD methods and the designs of new potent inhibitors targeting trypsin.     

Why is Substrate Peptide Binding Unsusceptible to Multidrug-Resistant Mutations in HIV-1 Protease? A Structural and Energetic Analysis

Understanding of the molecular mechanism and biological implication underlying the difference in binding of substrate peptides and small-molecule inhibitors to multidrug-resistant mutants of HIV-1 protease would help to develop new anti-HIV agents combating drug resistance. Here, an integration of rigorous quantum mechanics/molecular mechanics (QM/MM) analysis and empirical Poisson–Boltzmann/surface area (PB/SA) model is described to investigate the structural basis and energetic property of wild-type HIV-1 protease and its mutants in recognizing and binding with a wide variety of ligands, including the peptides derived from its cognate cleavage sites and the cleavage site variants as well as a number of FDA-approved protease inhibitors, attempting to explain why is substrate binding unsusceptible to most observed HIV-1 protease mutations. A preliminary test study demonstrates that the combined QM/MM–PB/SA scheme is able to effectively reproduce the relative ligand binding energy changes upon protease single- and double-mutations, albeit the absolute values appear to be different significantly between the calculated and experimental results. With the QM/MM–PB/SA calculations a complete mutation energy map of HIV-1 protease–ligand interactions is created, which unravels distinct affinity pictures of wild-type substrates, substrate variants and, particularly, the protease inhibitors bound to HIV-1 protease mutants, suggesting that, on the one hand, the evaluation pressure under anti-HIV chemotherapies addresses site-directed protease mutations that impair and undermine the intermolecular interactions specific to inhibitors but not substrates; on the other hand, co-evaluation of protease and its substrate peptides provides a more effective mechanism to avoid therapeutic surveillance. Further, nonbonded interaction analysis and computational alanine scanning reveal 12 key residues that is critical for substrate binding, from which the Asn25, Gly27, Ala28, Asp29 and Pro81 are identified that have not yet been found to cause drug resistance and hence would be the promising sites targeted by new protease inhibitors.     

A computational analysis of the binding affinities of FKBP12 inhibitors using the MM-PB/SA method

The FK506-binding proteins have been targets of pharmaceutical interests over years. We have studied the binding of a set of 12 nonimmunosuppressive small-molecule inhibitors to FKBP12 through molecular dynamics simulations. Each complex was subjected to 1-ns MD simulation conducted in an explicit solvent environment under constant temperature and pressure. The binding free energy of each complex was then computed by the MM-PB/SA method in the AMBER program. Our MM-PB/SA computation produced a good correlation between the experimentally determined and the computed binding free energies with a correlation coefficient (R(2)) of 0.93 and a standard deviation as low as 0.30 kcal/mol. The vibrational entropy term given by the normal mode analysis was found to be helpful for achieving this correlation. Moreover, an adjustment to one weight factor in the PB/SA model was essential to correct the absolute values of the final binding free energies to a reasonable range. A head-to-head comparison of our MM-PB/SA model with a previously reported Linear Response Approximation (LRA) model suggested that the MM-PB/SA method is more robust in binding affinity prediction for this class of compounds.     

How does the protein environment optimize the thermodynamics of thiol sulfenylation? Insights from model systems to QM/MM calculations on human 2-Cys peroxiredoxin

Protein thiol/sulfenic acid oxidation potentials provide a tool to select specific oxidation agents, but are experimentally difficult to obtain. Here, insights into the thiol sulfenylation thermodynamics are obtained from model calculations on small systems and from a quantum mechanics/molecular mechanics (QM/MM) analysis on human 2-Cys peroxiredoxin thioredoxin peroxidase B (Tpx-B). To study thiol sulfenylation in Tpx-B, our recently developed computational method to determine reduction potentials relatively compared to a reference system and based on reaction energies reduction potential from electronic energies is updated. Tpx-B forms a sulfenic acid (R-SO^?) on one of its active site cysteines during reactive oxygen scavenging. The observed effect of the conserved active site residues is consistent with the observed hydrogen bond interactions in the QM/MM optimized Tpx-B structures and with free energy calculations on small model systems. The ligand effect could be linked to the complexation energies of ligand L with CH₃S^? and CH₃SO^?. Compared to QM only calculations on Tpx-B’s active site, the QM/MM calculations give an improved understanding of sulfenylation thermodynamics by showing that other residues from the protein environment other than the active site residues can play an important role.     

Density functional theory calculations on entire proteins for free energies of binding: Application to a model polar binding site

In drug optimization calculations, the molecular mechanics Poisson‐Boltzmann surface area (MM‐PBSA) method can be used to compute free energies of binding of ligands to proteins. The method involves the evaluation of the energy of configurations in an implicit solvent model. One source of errors is the force field used, which can potentially lead to large errors due to the restrictions in accuracy imposed by its empirical nature. To assess the effect of the force field on the calculation of binding energies, in this article we use large‐scale density functional theory (DFT) calculations as an alternative method to evaluate the energies of the configurations in a “QM‐PBSA” approach. Our DFT calculations are performed with a near‐complete basis set and a minimal parameter implicit solvent model, within the self‐consistent calculation, using the ONETEP program on protein–ligand complexes containing more than 2600 atoms. We apply this approach to the T4‐lysozyme double mutant L99A/M102Q protein, which is a well‐studied model of a polar binding site, using a set of eight small aromatic ligands. We observe that there is very good correlation between the MM and QM binding energies in vacuum but less so in the solvent. The relative binding free energies from DFT are more accurate than the ones from the MM calculations, and give markedly better agreement with experiment for six of the eight ligands. Furthermore, in contrast to MM‐PBSA, QM‐PBSA is able to correctly predict a nonbinder. Proteins 2014; 82:3335–3346. © 2014 Wiley Periodicals, Inc.     

The non-additive contribution of hydroxyl substituents to Akt kinase–apigenin affinity

The natural product apigenin is a flavonoid derivative substituted by three hydroxyl functional groups at positions 4′, 5 and 7 [OH(4′), OH(5) and OH(7)] of the basic flavonoid skeleton, which has shown strong inhibition on the development, proliferation and invasion of tumour cells by binding specifically to Akt kinase to inactivate the Akt signalling pathway. In this study, a typical non-additivity of the three hydroxyl substituents’ contributions to Akt–apigenin binding affinity is demonstrated by combination of four empirical scoring functions, molecular dynamics simulations, molecular mechanics-Poisson–Boltzmann/surface area (MM/PBSA) analyses and hybrid quantum mechanics/molecular mechanics (QM/MM) calculations. It is found that (i) the empirical scoring functions are incapable of properly reflecting the non-additivity feature, which, however, can be well described by the more rigorous MM/PBSA and QM/MM methods, (ii) the hydroxyl group contributions to ligand binding affinity are deviated significantly from linear additive model due to the strong conjugate effect and σ-effect among them, that is, the co-contribution of the three hydroxyl groups is far less than the sum of their individual contributions and (iii) as might be expected, a strong interactive effect is observed for the two adjacent substituents OH(5) and OH(7) as compared with that of distant OH(5) and OH(4′) as well as OH(7) and OH(4′). In addition, the structural basis, energetic property and molecular mechanism of the non-additivity feature are also explored in detail using the natural population analysis and quantum mechanical calculations.     

Combined quantum and molecular mechanics calculations on metalloproteins

The combination of quantum mechanics and molecular mechanics (QM/MM) methods is one of the most promising approaches to study the structure, function and properties of proteins. The number of QM/MM applications on metalloproteins is steadily increasing, especially studies with density functional methods on redox-active metal centres. Recent developments include new parameterised methods to treat covalent bonds between the quantum and classical systems, methods to obtain free energy from QM/MM results, and the combination of quantum chemistry and protein crystallography.     

Thermodynamics calculation of protein–ligand interactions by QM/MM polarizable charge parameters

The calculation of protein–ligand binding free energy (ΔG) is of great importance for virtual screening and drug design. Molecular dynamics (MD) simulation has been an attractive tool to investigate this scientific problem. However, the reliability of such approach is affected by many factors including electrostatic interaction calculation. Here, we present a practical protocol using quantum mechanics/molecular mechanics (QM/MM) calculations to generate polarizable QM protein charge (QMPC). The calculated QMPC of some atoms in binding pockets was obviously different from that calculated by AMBER ff03, which might significantly affect the calculated ΔG. To evaluate the effect, the MD simulations and MM/GBSA calculation with QMPC for 10 protein–ligand complexes, and the simulation results were then compared to those with the AMBER ff03 force field and experimental results. The correlation coefficient between the calculated ΔΔG using MM/GBSA under QMPC and the experimental data is .92, while that with AMBER ff03 force field is .47 for the complexes formed by streptavidin or its mutants and biotin. Moreover, the calculated ΔΔG with QMPC for the complexes formed by ERβ and five ligands is positively related to experimental result with correlation coefficient of .61, while that with AMBER ff03 charge is negatively related to experimental data with correlation coefficient of .42. The detailed analysis shows that the electrostatic polarization introduced by QMPC affects the electrostatic contribution to the binding affinity and thus, leads to better correlation with experimental data. Therefore, this approach should be useful to virtual screening and drug design.     

QM/MM free energy simulations: recent progress and challenges

Due to the higher computational cost relative to pure molecular mechanical (MM) simulations, hybrid quantum mechanical/molecular mechanical (QM/MM) free energy simulations particularly require a careful consideration of balancing computational cost and accuracy. Here, we review several recent developments in free energy methods most relevant to QM/MM simulations and discuss several topics motivated by these developments using simple but informative examples that involve processes in water. For chemical reactions, we highlight the value of invoking enhanced sampling technique (e.g. replica-exchange) in umbrella sampling calculations and the value of including collective environmental variables (e.g. hydration level) in metadynamics simulations; we also illustrate the sensitivity of string calculations, especially free energy along the path, to various parameters in the computation. Alchemical free energy simulations with a specific thermodynamic cycle are used to probe the effect of including the first solvation shell into the QM region when computing solvation free energies. For cases where high-level QM/MM potential functions are needed, we analyse two different approaches: the QM/MM–MFEP method of Yang and co-workers and perturbative correction to low-level QM/MM free energy results. For the examples analysed here, both approaches seem productive although care needs to be exercised when analysing the perturbative corrections.     

Investigation of intermolecular interactions and stability of verubecestat in the active site of BACE1: Development of first model from QM/MM-based charge density and MD analysis

Alzheimer disease (AD) is a cruel neurodegenerative disorder caused by the deposition of amyloid β (Aβ) peptide inside the brain. The β-secretase (beta amyloid precursor protein (APP) cleaving enzyme 1, BACE1) is one of the enzymes involved in the cleavage of APP that leads to the Aβ formation and it is the primary target for the treatment of AD. Recent report outlines that verubecestat molecule strongly inhibits BACE1; however, its structure, binding mechanism and the stability in the active site of BACE1 are not yet known. The present study aims to determine the structure, binding affinity and the stability of verubecestat molecule in the active site of BACE1 from the molecular docking, quantum mechanics/molecular mechanics (QM/MM)-based charge density analysis and molecular dynamics simulation. Verubecestat molecule was docked at BACE1; it shows high binding affinity towards BACE1. Further, the conformational geometry and the intermolecular interactions of verubecestat in the active site of BACE1 were determined. The molecule forms strong interaction with the neighboring amino acids in the active site of BACE1. The onsite QM/MM-based charge density analysis reveals the nature of charge density distribution and the topological properties of intermolecular interactions of verubecestat molecule in the active site of BACE1. The calculated electrostatic potential (ESP) of verubecestat in the active site of BACE1 displays high negative and positive ESP regions of the molecule. This onsite QM/MM analysis is more relevant to the physiological situation. The molecular dynamics simulation has been performed, which confirms the high stability and compactness of verubecestat in the active site of BACE1. The MM-generalized Born surface area and MM-Poisson Boltzmann surface area free energy calculations of verubecestat–BACE1 also confirm the high binding affinity of verubecestat.

Communicated by Ramaswamy H. Sarma     

Conformational flexibility and binding energy profile of c-Abl tyrosine kinase complexed with Imatinib: an insight from MD study

Structural biology of kinase and in particular of tyrosine kinase has given detailed insights into the intrinsic flexibility of the catalytic domain and has provided a rational basis for obtaining selective inhibitors. In this paper, we have studied the conformational flexibility of c-Abl tyrosine kinase complexed with Imatinib (STI), in the presence of TIP3P water in physiological conditions at neutral pH. The conformational studies suggest that the flexibility of activation loop is responsible to facilitate the nucleotide binding and release. Owing to the conformational adaptability, adenosine triphosphate (ATP) binds at a particular site in the loop region of the tyrosine kinase. The molecular mechanics Poisson–Boltzmann surface area methods are analysed, as is a free-energy pathways method, which shows the stable binding with free energy ? 6.04 kcal/mol for STI. The binding energy calculated by the Sietraj method is approximately the same as the experimental binding energy of STI with c-Abl kinase. It is suggested that the conserved glutamic acid and lysine residues are necessary for the stability and optimum activity of inhibitor. This study may be helpful in rational drug designing of new kinase inhibitors.     

Theoretical investigation on the diatomic ligand migration process and ligand binding properties in non‐O2‐binding H‐NOX domain

The Nostoc sp (Ns) H‐NOX (heme‐nitric oxide or OXygen‐binding) domain shares 35% sequence identity with soluble guanylate cyclase (sGC) and exhibits similar ligand binding property with the sGC. Previously, our molecular dynamic (MD) simulation work identified that there exists a Y‐shaped tunnel system hosted in the Ns H‐NOX interior, which servers for ligand migration. The tunnels were then confirmed by Winter et al. [PNAS 2011;108(43):E 881–889] recently using x‐ray crystallography with xenon pressured conditions. In this work, to further investigate how the protein matrix of Ns H‐NOX modulates the ligand migration process and how the distal residue composition affects the ligand binding prosperities, the free energy profiles for nitric oxide (NO), carbon monooxide (CO), and O₂ migration are explored using the steered MDs simulation and the ligand binding energies are calculated using QM/MM schemes. The potential of mean force profiles suggest that the longer branch of the tunnel would be the most favorable route for NO migration and a second NO trapping site other than the distal heme pocket along this route in the Ns H‐NOX was identified. On the contrary, CO and O₂ would prefer to diffuse via the shorter branch of the tunnel. The QM/MM (quantum mechanics/molecular mechanics) calculations suggest that the hydrophobic distal pocket of Ns H‐NOX would provide an approximately vacuum environment and the ligand discrimination would be determined by the intrinsic binding properties of the diatomic gas ligand to the heme group. Proteins 2013; 81:1363–1376. © 2013 Wiley Periodicals, Inc.     

Computational screening of fatty acid synthase inhibitors against thioesterase domain

Thioesterase (TE) domain of fatty acid synthase (FAS) is an attractive therapeutic target for design and development of anticancer drugs. In this present work, we search for the potential FAS inhibitors of TE domain from the ZINC database based on similarity search using three natural compounds as templates, including flavonoids, terpenoids, and phenylpropanoids. Molecular docking was used to predict the interaction energy of each screened ligand compared to the reference compound, which is methyl γ-linolenylfluorophosphonate (MGLFP). Based on this computational technique, rosmarinic acid and its eight analogs were observed as a new series of potential FAS inhibitors, which showed a stronger binding affinity than MGLFP. Afterward, nine docked complexes were studied by molecular dynamics simulations for investigating protein–ligand interactions and binding free energies using MM-PB(GB)SA, MM-3DRISM-KH, and QM/MM-GBSA methods. The binding free energy calculation indicated that the ZINC85948835 (R34) displayed the strongest binding efficiency against the TE domain of FAS. There are eight residues (S2308, I2250, E2251, Y2347, Y2351, F2370, L2427, and E2431) mainly contributed for the R34 binding. Moreover, R34 could directly form hydrogen bonds with S2308, which is one of the catalytic triad of TE domain. Therefore, our finding suggested that R34 could be a potential candidate as a novel FAS-TE inhibitor for further drug design.     

Comparison of a QM/MM force field and molecular mechanics force fields in simulations of alanine and glycine "dipeptides" (Ace-Ala-Nme and Ace-Gly-Nme) in water in relation to the problem of modeling the unfolded peptide backbone in solution

We compare the conformational distributions of Ace-Ala-Nme and Ace-Gly-Nme sampled in long simulations with several molecular mechanics (MM) force fields and with a fast combined quantum mechanics/molecular mechanics (QM/MM) force field, in which the solute's intramolecular energy and forces are calculated with the self-consistent charge density functional tight binding method (SCCDFTB), and the solvent is represented by either one of the well-known SPC and TIP3P models. All MM force fields give two main states for Ace-Ala-Nme, beta and alpha separated by free energy barriers, but the ratio in which these are sampled varies by a factor of 30, from a high in favor of beta of 6 to a low of 1/5. The frequency of transitions between states is particularly low with the amber and charmm force fields, for which the distributions are noticeably narrower, and the energy barriers between states higher. The lower of the two barriers lies between alpha and beta at values of psi near 0 for all MM simulations except for charmm22. The results of the QM/MM simulations vary less with the choice of MM force field; the ratio beta/alpha varies between 1.5 and 2.2, the easy pass lies at psi near 0, and transitions between states are more frequent than for amber and charmm, but less frequent than for cedar. For Ace-Gly-Nme, all force fields locate a diffuse stable region around phi = pi and psi = pi, whereas the amber force field gives two additional densely sampled states near phi = +/-100 degrees and psi = 0, which are also found with the QM/MM force field. For both solutes, the distribution from the QM/MM simulation shows greater similarity with the distribution in high-resolution protein structures than is the case for any of the MM simulations.     

Determinants of reactivity and selectivity in soluble epoxide hydrolase from quantum mechanics/molecular mechanics modeling

Soluble epoxide hydrolase (sEH) is an enzyme involved in drug metabolism that catalyzes the hydrolysis of epoxides to form their corresponding diols. sEH has a broad substrate range and shows high regio- and enantioselectivity for nucleophilic ring opening by Asp333. Epoxide hydrolases therefore have potential synthetic applications. We have used combined quantum mechanics/molecular mechanics (QM/MM) umbrella sampling molecular dynamics (MD) simulations (at the AM1/CHARMM22 level) and high-level ab initio (SCS-MP2) QM/MM calculations to analyze the reactions, and determinants of selectivity, for two substrates: trans-stilbene oxide (t-SO) and trans-diphenylpropene oxide (t-DPPO). The calculated free energy barriers from the QM/MM (AM1/CHARMM22) umbrella sampling MD simulations show a lower barrier for phenyl attack in t-DPPO, compared with that for benzylic attack, in agreement with experiment. Activation barriers in agreement with experimental rate constants are obtained only with the highest level of QM theory (SCS-MP2) used. Our results show that the selectivity of the ring-opening reaction is influenced by several factors, including proximity to the nucleophile, electronic stabilization of the transition state, and hydrogen bonding to two active site tyrosine residues. The protonation state of His523 during nucleophilic attack has also been investigated, and our results show that the protonated form is most consistent with experimental findings. The work presented here illustrates how determinants of selectivity can be identified from QM/MM simulations. These insights may also provide useful information for the design of novel catalysts for use in the synthesis of enantiopure compounds.     

Refined models of New Delhi metallo-beta-lactamase-1 with inhibitors: an QM/MM modeling study

New Delhi metallo-beta-lactamase 1 (NDM-1) has been identified as a potential target for the treatment of multi-drug resistance bacterial infections. We used molecular docking, normal MD, SIE, QM/MM MD simulations, QM/MM GBSA binding free energy, and QM/MM GBSA alanine-scanning mutagenesis techniques to investigate interactions of the NDM-1 with 11 inhibitors (Tigecycline, BAL30072, D-captopril, Penicillin G, Ampicillin, Carbenicillin, Cephalexin, Cefaclor, Nitrocefin, Meropenem, and Imipenem). From our normal MD and QM/MM simulations, the correlation coefficients between the predicted binding free energies and experimental values are .88 and .93, respectively. Then simulations, which combined QM/MM/GBSA and alanine-scanning mutagenesis techniques, were performed and our results show that two residues (Lys211 and His250) have the strongest impact on the binding affinities of the 11 NDM-1/inhibitors. Therefore, our approach theoretically suggests that the two residues (Lys211 and His250) are responsible for the selectivity of NDM-1 associated inhibitors.     

A computational study of the protein-ligand interactions in CDK2 inhibitors: using quantum mechanics/molecular mechanics interaction energy as a predictor of the biological activity

We report a combined quantum mechanics/molecular mechanics (QM/MM) study to determine the protein-ligand interaction energy between CDK2 (cyclin-dependent kinase 2) and five inhibitors with the N(2)-substituted 6-cyclohexyl-methoxy-purine scaffold. The computational results in this work show that the QM/MM interaction energy is strongly correlated to the biological activity and can be used as a predictor, at least within a family of substrates. A detailed analysis of the protein-ligand structures obtained from molecular dynamics simulations shows specific interactions within the active site that, in some cases, have not been reported before to our knowledge. The computed interaction energy gauges the strength of protein-ligand interactions. Finally, energy decomposition and multiple regression analyses were performed to check the contribution of the electrostatic and van der Waals energies to the total interaction energy and to show the capabilities of the computational model to identify new potent inhibitors.     

Binding free energies for nicotine analogs inhibiting cytochrome P450 2A6 by a combined use of molecular dynamics simulations and QM/MM-PBSA calculations

Molecular dynamics (MD) simulations and hybrid quantum mechanical/molecular mechanical (QM/MM) calculations have been performed to explore the dynamic behaviors of cytochrome P450 2A6 (CYP2A6) binding with nicotine analogs (that are typical inhibitors) and to calculate their binding free energies in combination with Poisson–Boltzmann surface area (PBSA) calculations. The combined MD simulations and QM/MM-PBSA calculations reveal that the most important structural parameters affecting the CYP2A6-inhibitor binding affinity are two crucial internuclear distances, that is, the distance between the heme iron atom of CYP2A6 and the coordinating atom of the inhibitor, and the hydrogen-bonding distance between the N297 side chain of CYP2A6 and the pyridine nitrogen of the inhibitor. The combined MD simulations and QM/MM-PBSA calculations have led to dynamic CYP2A6-inhibitor binding structures that are consistent with the observed dynamic behaviors and structural features of CYP2A6-inhibitor binding, and led to the binding free energies that are in good agreement with the experimentally-derived binding free energies. The agreement between the calculated binding free energies and the experimentally-derived binding free energies suggests that the combined MD and QM/MM-PBSA approach may be used as a valuable tool to accurately predict the CYP2A6-inhibitor binding affinities in future computational design of new, potent and selective CYP2A6 inhibitors.     

Application of a SCC-DFTB QM/MM approach to the investigation of the catalytic mechanism of fatty acid amide hydrolase

Self-consistent charge density functional tight binding (SCC-DFTB) is a promising method for hybrid quantum mechanics/molecular mechanics (QM/MM) simulations of enzyme-catalyzed reactions. The acylation reaction of fatty acid amide hydrolase (FAAH), a promising drug target, was investigated by applying a SCC-DFTB/CHARMM27 scheme. Calculated potential energy barriers resulted in reasonable agreement with experiments for oleamide (OA) and oleoylmethyl ester (OME) substrates, outperforming previous calculations performed at the PM3/CHARMM22 level. Furthermore, the experimental preference of FAAH in hydrolyzing OA faster than OME was adequately reproduced by calculations. All these findings indicate that the SCC-DFTB/CHARMM27 approach can be successfully applied to mechanistic investigations of FAAH-catalyzed reactions.