Convergence of Free Energy Profile of Coumarin in Lipid Bilayer

Atomistic molecular dynamics (MD) simulations of druglike molecules embedded in lipid bilayers are of considerable interest as models for drug penetration and positioning in biological membranes. Here we analyze partitioning of coumarin in dioleoylphosphatidylcholine (DOPC) bilayer, based on both multiple, unbiased 3 μs MD simulations (total length) and free energy profiles along the bilayer normal calculated by biased MD simulations (～7 μs in total). The convergences in time of free energy profiles calculated by both umbrella sampling and z-constraint techniques are thoroughly analyzed. Two sets of starting structures are also considered, one from unbiased MD simulation and the other from "pulling" coumarin along the bilayer normal. The structures obtained by pulling simulation contain water defects on the lipid bilayer surface, while those acquired from unbiased simulation have no membrane defects. The free energy profiles converge more rapidly when starting frames from unbiased simulations are used. In addition, z-constraint simulation leads to more rapid convergence than umbrella sampling, due to quicker relaxation of membrane defects. Furthermore, we show that the choice of RESP, PRODRG, or Mulliken charges considerably affects the resulting free energy profile of our model drug along the bilayer normal. We recommend using z-constraint biased MD simulations based on starting geometries acquired from unbiased MD simulations for efficient calculation of convergent free energy profiles of druglike molecules along bilayer normals. The calculation of free energy profile should start with an unbiased simulation, though the polar molecules might need a slow pulling afterward. Results obtained with the recommended simulation protocol agree well with available experimental data for two coumarin derivatives.     

Studying the Binding Modes of Novel 2-Aminopyridine Derivatives as Effective and Selective c-Met Kinase Type 1 Inhibitors Using Molecular Modeling Approaches

The mesenchymal epithelial cell transforming factor c-Met, encoded by c-Met proto-oncogene and known as a high-affinity receptor for Hepatocyte Growth Factor (HGF), is one of the receptor tyrosine kinases (RTKs) members. The HGF/c-Met signaling pathway has close correlation with tumor growth, invasion and metastasis. Thus, c-Met kinase has emerged as a prominent therapeutic target for cancer drug discovery. Recently a series of novel 2-aminopyridine derivatives targeting c-Met kinase with high biological activity were reported. In this study, 3D quantitative structure-activity relationship (QSAR), molecular docking and molecular dynamics simulations (MD) were employed to research the binding modes of these inhibitors.The results show that both the atom-based and docking-based CoMFA (Q² = 0.596, R² = 0.950 in atom-based model and Q² = 0.563, R² = 0.985 in docking-based model) and CoMSIA (Q² = 0.646, R² = 0.931 in atom-based model and Q² = 0.568, R² = 0.983 in docking-based model) models own satisfactory performance with good reliabilities and powerful external predictabilities. Molecular docking study suggests that Tyr1230 and Arg1208 might be the key residues, and electrostatic and hydrogen bond interactions were shown to be vital to the activity, concordance with QSAR analysis. Then MD simulation was performed to further explore the binding mode of the most potent inhibitor. The obtained results provide important references for further rational design of c-Met Kinase type I inhibitors.     

Multidimensional umbrella sampling and replica‐exchange molecular dynamics simulations for structure prediction of transmembrane helix dimers

Structural information of a transmembrane (TM) helix dimer is useful in understanding molecular mechanisms of important biological phenomena such as signal transduction across the cell membrane. Here, we describe an umbrella sampling (US) scheme for predicting the structure of a TM helix dimer in implicit membrane using the interhelical crossing angle and the TM–TM relative rotation angles as the reaction coordinates. This scheme conducts an efficient conformational search on TM–TM contact interfaces, and its robustness is tested by predicting the structures of glycophorin A (GpA) and receptor tyrosine kinase EphA1 (EphA1) TM dimers. The nuclear magnetic resonance (NMR) structures of both proteins correspond to the global free‐energy minimum states in their free‐energy landscapes. In addition, using the landscape of GpA as a reference, we also examine the protocols of temperature replica‐exchange molecular dynamics (REMD) simulations for structure prediction of TM helix dimers in implicit membrane. A wide temperature range in REMD simulations, for example, 250–1000 K, is required to efficiently obtain a free‐energy landscape consistent with the US simulations. The interhelical crossing angle and the TM–TM relative rotation angles can be used as reaction coordinates in multidimensional US and be good measures for conformational sampling of REMD simulations. © 2013 Wiley Periodicals, Inc.     

新型二氟甲基磷酸类酪氨酸蛋白磷酸酯酶1B抑制剂的分子动力学模拟和结合自由能计算

通过分子对接建立了一系列含二氟甲基磷酸基团(DFMP)或二氟甲基硫酸基团(DFMS)的抑制剂与酪氨酸蛋白磷酸酯酶1B(PTP1B)的相互作用模式, 并通过1 ns的分子动力学模拟和molecular mechanics/generalized Born surface area (MM/GBSA)方法计算了其结合自由能. 计算获得的结合自由能排序和抑制剂与靶酶间结合能力排序一致; 通过基于主方程的自由能计算方法, 获得了抑制剂与靶酶残基间相互作用的信息, 这些信息显示DFMP/DFMS基团的负电荷中心与PTP1B的221位精氨酸正电荷中心之间的静电相互作用强弱决定了此类抑制剂的活性, 进一步的分析还显示位于DFMP/DFMS基团中的氟原子或其他具有适当原子半径的氢键供体原子会增进此类抑制剂与PTP1B活性位点的结合能力.     

Insights into the recognition and association of transmembrane alpha-helices. The free energy of alpha-helix dimerization in glycophorin A

The free energy of alpha-helix dimerization of the transmembrane (TM) region of glycophorin A was estimated from a 125-ns molecular dynamics (MD) simulation in a membrane mimetic. The free energy profile was obtained by allowing the TM helical segments to diffuse reversibly along the reaction pathway. Partition of the potential of mean force into free energy components illuminates the critical steps of alpha-helix recognition and association. At large separations, the TM segments are pushed together by the solvent, allowing initial, but not necessarily native, interhelical interactions to occur. This early recognition stage precedes the formation of native contacts, which is accompanied by a tilt of the helices, characteristic of the dimeric structure. This step is primarily driven by the van der Waals helix-helix interactions. Free energy perturbation calculations of the L75A and I76A point mutations reveal a disruption in helix-helix association due to a loss of favorable dispersion interactions. Additional MD simulations of the native TM dimer and of a single alpha-helix confirm that, prior to association, individual alpha-helices are independently stable, in agreement with the "two-stage" model of integral membrane protein folding.     

Molecular dynamics study of the inclusion of cholesterol into cyclodextrins

The interaction of three cyclodextrins (CDs), viz. beta-CD, heptakis (2,6-di-O-methyl)-beta-CD (DM-beta-CD), and 2-hydroxypropyl-beta-CD (HP-beta-CD), with cholesterol was investigated using molecular dynamics (MD) simulations. The free energy along the reaction pathway delineating the inclusion of cholesterol into each CD was computed using the adaptive biasing force method. The association constant and the corresponding association free energy were derived by integrating the potential of mean force (PMF) over a representative ordering parameter. The results show that the free energy profiles possess two local minima corresponding to roughly equally probable binding modes. Among the three CDs, DM-beta-CD exhibits the highest propensity to associate with cholesterol. Ranking for binding cholesterol, viz. DM-beta-CD > HP-beta-CD > beta-CD, agrees nicely with experiment. Partitioning of the PMF into free energy components illuminates that entering of cholesterol into the CD cavity is driven mainly by electrostatic interactions, whereas deeper inclusion results from van der Waals forces and solvation effects. Additional MD simulations were performed to investigate the structural stability of the host-guest complexes near the free energy minima. The present results demonstrate that association of cholesterol and CDs follows two possible binding modes. Although the latter are thermodynamically favorable for all CDs, one of the two inclusion complexes appears to be preferred kinetically in the case of DM-beta-CD.     

分子对接打分修正及在内皮脂肪酶选择性抑制剂筛选中的应用

内皮脂肪酶（EL）是脂代谢调控甘油三酯脂酶家族的新成员,其功能主要为水解富含磷脂的高密度脂蛋白（HDL）,对其进行选择性抑制而不影响其同源蛋白脂蛋白脂肪酶（LPL）能够提高血浆中HDLc的浓度水平,有利于预防及治疗动脉粥样硬化疾病。目前分子对接中的打分函数对大分子及大蛋白口袋具有偏向性,使得基于分子对接的虚拟筛选成功率普遍不高。本文中,我们将EL和LPL分别与Specs小分子库进行了分子对接,分析了对接打分与重原子数及接触面积的关系,发现对接打分与重原子数及接触面积之间有极高的相关性,即存在重原子数的叠加效应（重原子数越大,打分越好的趋势）。我们建立了基于重原子数和接触面积的EL、LPL对接打分标准曲线,利用此标准曲线进行对接打分的修正,并用已知抑制剂和生成的decoy分子作为验证集进行了验证。随后,我们应用此打分修正策略对传统中药库（TCMD）进行了基于分子对接的虚拟筛选,发现经过打分修正后的分子排名与重原子数之间的分布更为均衡,同时我们对EL打分较高、LPL打分较低且类药性较好的分子进行了结合模式的分析,为高活性高选择性EL抑制剂的发现奠定了基础。     

Molecular modeling studies to discover novel mIDH2 inhibitors with high selectivity for the primary and secondary mutants

Mutant isocitrate dehydrogenase 2 (mIDH2) is an emerging target for the treatment of cancer. AG-221 is the first mIDH2 inhibitor approved by the FDA for acute myeloid leukemia treatment, but its acquired resistance has recently been observed, necessitating the development of new inhibitor. In this study, a multi-step virtual screening protocol was employed for the analysis of a large database of compounds to identify potential mIDH2 inhibitors. To this end, we firstly utilized molecular dynamics (MD) simulations and binding free energy calculations to elucidate the key factors affecting ligand binding and drug resistance. Based on these findings, the receptor-ligand interaction-based pharmacophore (IBP) model and hierarchical docking-based virtual screening were sequentially carried out to assess 212,736 compounds from the Specs database. The resulting hits were finally ranked by PAINS filter and ADME prediction and the top compounds were obtained. Among them, six molecules were identified as mIDH2 putative inhibitors with high selectivity by interacting with the capping residue Asp312. Furthermore, subsequent docking and MD experiments demonstrated that compound V2 might have potential inhibitory activity against the AG-221-resistant mutants, thereby making it a promising lead for the development of novel mIDH2 inhibitors.     

Homodimerization of neurotensin 1 receptor involves helices 1, 2, and 4: insights from quaternary structure predictions and dimerization free energy estimations

A computational approach based upon rigid-body docking, ad hoc filtering, and cluster analysis has been combined with a protocol for dimerization free energy estimations to predict likely interfaces in the neurotensin 1 receptor (NTS1) homodimers. The results of this study suggest that the likely intermonomer interfaces compatible with in vitro binding affinity constants essentially involve helices 1, 2, and 4 and do not include disulfide bridges. The correlative model initially developed on Glycophorin A and herein extended to a G protein-Coupled Receptor (GPCR) appears to be a useful tool for estimating the association free energies of transmembrane proteins independent of the size and shape of the interface. In the desirable future cases, in which in vitro intermonomer binding affinities will be available for other GPCRs, such a correlative model will work as an additional criterion for helping in the selection of the most likely dimers.     

Evaluation of the effect of the chiral centers of Taxol on binding to β-tubulin: A docking and molecular dynamics simulation study

Taxol is one of the most important anti-cancer drugs. The interaction between different variants of Taxol, by altering one of its chiral centers at a time, with β-tubulin protein has been investigated. To achieve such goal, docking and molecular dynamics (MD) simulation studies have been performed. In docking studies, the preferred conformers have been selected to further study by MD method based on the binding energies reported by the AutoDock program. The best result of docking study which shows the highest affinity between ligand and protein has been used as the starting point of the MD simulations. All of the complexes have shown acceptable stability during the simulation process, based on the RMSDs of the backbone of the protein structure. Finally, MM-GBSA calculations have been carried out to select the best ligand, considering the binding energy criteria. The results predict that two of the structures have better affinity toward the mentioned protein, in comparison with Taxol. Three of the structures have affinity similar to that of the Taxol toward the β-tubulin.     

A comparative study of 5- fluorouracil,doxorubicin, methotrexate,paclitaxel for their inhibition ability for Mpro of nCoV: Molecular docking and molecular dynamics simulations

The new corona virus (nCoV) is aetiological agent responsible for the viral pneumonia epidemic. Three is no specific therapeutic medicines available for the treatment of this condition and also effective treatment choices are few. In this work, authors tried to investigate few potential of repurposing drugs (5- fluorouracil, doxorubicin, methotrexate and paclitaxel) against the main protease (Mpro) of nCoV by the computational tools. Molecular docking was performed to screen out the best compound and doxorubicin was found to have minimum binding energy ?121.89 kcal/mol. To further study, molecular dynamics (MD) simulations were performed at 300 K and the result successfully corroborate the energy obtained by molecular docking. Further, temperature dependent MD simulations of the best molecule, that is, doxorubicin based on results of docking, was performed to check the variation in structural changes in Mpro of nCoV at 290 K, 310 K, 320 K and 325 K. It is found that doxorubicin binds effectively with Mpro of nCoV at 290 K. Further, ADME properties of the 5- fluorouracil, doxorubicin, methotrexate and paclitaxel were also evaluated to understand the bioavailability.     

Molecular dynamics and thermodynamics of protein-RNA interactions: mutation of a conserved aromatic residue modifies stacking interactions and structural adaptation in the U1A-stem loop 2 RNA complex.

Molecular dynamics (MD) simulations and free energy component analysis have been performed to evaluate the molecular origins of the 5.5 kcal/mol destabilization of the complex formed between the N-terminal RNP domain of U1A and stem loop 2 of U1 snRNA upon mutation of a conserved aromatic residue, Phe56, to Ala. MD simulations, including counterions and water, have been carried out on the wild type and Phe56Ala peptide-stem loop 2 RNA complexes, the free wild type and Phe56Ala peptides, and the free stem loop 2 RNA. The MD structure of the Phe56Ala-stem loop 2 complex is similar to that of the wild type complex except the stacking interaction between Phe56 and A6 of stem loop 2 is absent and loop 3 of the peptide is more dynamic. However, the MD simulations predict large changes in the structure and dynamics of helix C and increased dynamic range of loop 3 for the free Phe56Ala peptide compared to the wild type peptide. Since helix C and loop 3 are highly variable regions of RNP domains, this indicates that a significant contribution to the reduced affinity of the Phe56Ala peptide for RNA results from cooperation between highly conserved and highly variable regions of the RNP domain of U1A. Surprisingly, these structural effects, which are manifested as cooperative free energy changes, occur in the free peptide, rather than in the complex, and are revealed only by study of both the initial and final states of the complexation process. Free energy component analysis correctly accounts for the destabilization of the Phe56Ala-stem loop 2 complex, and indicates that approximately 80% of the destabilization is due to the loss of the stacking interaction and approximately 20% is due to differences in U1A adaptation.     

Extra precision docking,free energy calculation and molecular dynamics studies on glutamic acid derivatives as MurD inhibitors

The binding modes of well known MurD inhibitors have been studied using molecular docking and molecular dynamics (MD) simulations. The docking results of inhibitors 1-30 revealed similar mode of interaction with Escherichia coli-MurD. Further, residues Thr36, Arg37, His183, Lys319, Lys348, Thr321, Ser415 and Phe422 are found to be important for inhibitors and E. coli-MurD interactions. Our docking procedure precisely predicted crystallographic bound inhibitor 7 as evident from root mean square deviation (0.96 Å). In addition inhibitors 2 and 3 have been successfully cross-docked within the MurD active site, which was pre-organized for the inhibitor 7. Induced fit best docked poses of 2, 3, 7 and 15/2Y1O complexes were subjected to 10 ns MD simulations to determine the stability of the predicted binding conformations. Induce fit derived docked complexes were found to be in a state of near equilibrium as evident by the low root mean square deviations between the starting complex structure and the energy minimized final average MD complex structures. The results of molecular docking and MD simulations described in this study will be useful for the development of new MurD inhibitors with high potency.     

Binding of novel fullerene inhibitors to HIV-1 protease: insight through molecular dynamics and molecular mechanics Poisson–Boltzmann surface area calculations

The objectives of this study include the design of a series of novel fullerene-based inhibitors for HIV-1 protease (HIV-1 PR), by employing two strategies that can also be applied to the design of inhibitors for any other target. Additionally, the interactions which contribute to the observed exceptionally high binding free energies were analyzed. In particular, we investigated: (1) hydrogen bonding (H-bond) interactions between specific fullerene derivatives and the protease, (2) the regions of HIV-1 PR that play a significant role in binding, (3) protease changes upon binding and (4) various contributions to the binding free energy, in order to identify the most significant of them. This study has been performed by employing a docking technique, two 3D-QSAR models, molecular dynamics (MD) simulations and the molecular mechanics Poisson–Boltzmann surface area (MM–PBSA) method. Our computed binding free energies are in satisfactory agreement with the experimental results. The suitability of specific fullerene derivatives as drug candidates was further enhanced, after ADMET (absorption, distribution, metabolism, excretion and toxicity) properties have been estimated to be promising. The outcomes of this study revealed important protein–ligand interaction patterns that may lead towards the development of novel, potent HIV-1 PR inhibitors.