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1.
氢键和极性相互作用在抑制剂-蛋白结合专一性识别过程中起到重要作用.抑制剂Benzamidine(BEN)与胰岛素trypsin相互作用机制的阐明有助于胰岛素高效抑制剂的研发.本文采用分子动力学模拟和MM-PBSA(molecular mechanics-Poisson Boltzmann surface area)从原子层次上研究BEN与胰岛素的结合模式.结果表明抑制剂BEN的脒基不仅与Asp189的羰基产生静电相互作用,而且与残基Ser190和Gly214形成氢键相互作用.基于残基能量分解的计算表明抑制剂的苯基与残基His58,Cys191,Gln192,Trp211,Gly212和Cys215形成有利于抑制剂结合的疏水性相互作用.期望当前的研究能为胰岛素有效抑制剂的研发提供重要的理论指导.  相似文献   

2.
氢键和极性相互作用在抑制剂-蛋白结合专一性识别过程中起到重要作用. 抑制剂Benzamidine(BEN)与胰岛素trypsin相互作用机制的阐明有助于胰岛素高效抑制剂的研发.本文采用分子动力学模拟和MM-PBSA(molecular mechanics-Poisson Boltzmann surface area)从原子层次上研究BEN与胰岛素的结合模式.结果表明抑制剂BEN的脒基不仅与Asp189的羰基产生静电相互作用,而且与残基Ser190和Gly214形成氢键相互作用.基于残基能量分解的计算表明抑制剂的苯基与残基His58, Cys191, Gln192, Trp211, Gly212和Cys215形成有利于抑制剂结合的疏水性相互作用.期望当前的研究能为胰岛素有效抑制剂的研发提供重要的理论指导.  相似文献   

3.
采用分子动力学模拟和结合自由能计算研究了抑制剂APV与HIV-1蛋白酶的作用机制. 研究结果表明范德瓦尔斯作用主控了APV与HIV-1蛋白酶的结合. 采用基于残基的自由能分解方法计算了抑制剂-残基相互作用,结果表明9个残基Gly27、Ile32、Val47、Ile50、Ile84、Ala28′、Gly49′、Ile50′和Arg87′与APV产生了大于1.0 kcal/mol的强相互作用,而且证明CH-π,CH-O相互作用和极性作用是其结合的主要形式. 期待该结果可以为以HIV-1蛋白酶为靶标的抗艾滋病药物设计提供理论上的指导.  相似文献   

4.
采用分子动力学模拟和结合自由能计算研究了抑制剂APV与HIV-1蛋白酶的作用机制. 研究结果表明范德瓦尔斯作用主控了APV与HIV-1蛋白酶的结合. 采用基于残基的自由能分解方法计算了抑制剂-残基相互作用,结果表明9个残基Gly27、Ile32、Val47、Ile50、Ile84、Ala28′、Gly49′、Ile50′和Arg87′与APV产生了大于1.0 kcal/mol的强相互作用,而且证明CH-π,CH-O相互作用和极性作用是其结合的主要形式. 期待该结果可以为以HIV-1蛋白酶为靶标的抗艾滋病药物设计提供理论上的指导.  相似文献   

5.
采用分子动力学模拟和结合自由能计算研究了抑制剂APV与HIV-1蛋白酶的作用机制.研究结果表明范德瓦尔斯作用主控了APV与HIV-1蛋白酶的结合.采用基于残基的自由能分解方法计算了抑制剂-残基相互作用,结果表明9个残基Gly27、Ile32、Val47、Ile50、Ile84、Ala28'、Gly49'、Ile50'和Arg87'与APV产生了大于1.0 kcal/mol的强相互作用,而且证明CH-π,CH-O相互作用和极性作用是其结合的主要形式.期待该结果可以为以HIV-1蛋白酶为靶标的抗艾滋病药物设计提供理论上的指导.  相似文献   

6.
p53-MDM2相互作用的抑制已经成为治疗癌症的新方法. 本文将分子动力学模拟和MM-PBSA(molecular mechanics/passion-Boltzman surface area)方法结合起来研究MDM2-p53相互作用机制. 结果证明范德华相互作用驱动了MDM2与p53的结合. 基于残基-残基相互作用的计算不仅证明p53的三个残基Phe19′, Trp23′和Leu26′与MDM2有较强的相互作用,而且还发现另外两个残基Leu22′和Pro27′也与MDM2有较强的相互作用,这为抗癌药物的设计提供了新靶标. 同时也证明CH-CH,CH-π和π-π相互作用驱动了p53在MDM2疏水性裂缝中的结合.  相似文献   

7.
p53-MDM2相互作用的分子力学和动力学研究   总被引:1,自引:1,他引:0  
p53-MDM2相互作用的抑制已经成为治疗癌症的新方法.本文特分子动力学模拟和MM-PBSA(molecular mechanics/passion-Boltzman surface area)方法结合起来研究MDM2-p53相互作用机制.结果证明范德华相互作用驱动了MDM2与p53的结合.基于残基-残基相互作用的计算不仅证明p53的三个残基Phe19’,Trp23’和Leu26’与MDM2有较强的相互作用,而且还发现另外两个残基Leu22’和Pro27’也与MDM2有较强的相互作用,这为抗癌药物的设计提供了新靶标.同时也证明CH-CH,CH-π和π-π相互作用驱动了p53在MDM2疏水性裂缝中的结合.  相似文献   

8.
p53-MDM2相互作用已经成为治疗癌症药物设计的重要靶标.本文采用分子动力学模拟和MM-PBSA(molecular mechanics-Possion-Boltzmann surface area)方法计算了肽类抑制剂pD16W与MDM2的结合自由能,结果证明范德华作用是pD16W与MDM2结合的主要力量.相关矩阵的计算结果表明pD16W的结合主要诱导了MDM2内部的反相关运动.基于成对残基的自由能分解计算不仅证明pD16W的5个残基Phe19′,Trp22′,Trp23′,Leu26′和Thr27′能够与MDM2产生较强的相互作用,而且确认了CH-π,CH-CH和π-πc相互作用驱动了pD16W在MDM2疏水裂缝中的结合.这为抗癌药物的设计提供了理论上的指导.  相似文献   

9.
Bromodomain结构域蛋白4(bromodomain-containing protein 4,BRD4)已成为治疗多种疾病药物设计的重要靶标. 最近在实验上发现了几种有效的靶向BRD4的抑制剂,但具体的抑制机理尚不清楚.此工作采用分子动力学模拟,动态相关性分析和结合自由能计算研究抑制剂8Q9和8QC与BRD4(1)的结合模式.分子动力学分析表明抑制剂结合对BRD4(1)的结构柔性产生重大影响.同时动态相关性分析进一步表明抑制剂结合极大地改变了BRD4(1)的运动模式.结合自由能计算结果表明范德华相互作用是抑制剂与BRD4(1)结合的主要驱动力.采用基于残基的自由能分解方法评估了分离残基对抑制剂结合的贡献,数据表明氢键相互作用和疏水相互作用是影响抑制剂与BRD4(1)结合的关键因素.本研究有望为设计和开发靶向BRD4的抑制剂提供有意义的理论指导.  相似文献   

10.
HIV-1蛋白酶PR(HIV-1 protease)的变异对抑制剂产生抗药性,严重消弱抗艾滋病的治疗效果.I50V变异是HIV-1蛋白酶残基变异中最重要的一个.采用分子动力学模拟和溶解相互作用能方法SIE(solvated interaction energy)研究I50V变异对抑制剂APV(amprenavir)抗药机制.分子动力学分析表明I50V变异诱导HIV-1蛋白酶整体柔性的增加,影响了抑制剂与蛋白酶的相互作用.结合自由能计算表明范德华作用的下降驱动了I50V变异对APV的抗药性.基于残基的能量分解证明V50/V50'与APV的相互作用相对于野生型的I50/I50'明显减弱,诱导了抗药性.本研究能为高效的缓解抗药性抑制剂的研发提供一定的理论指导.  相似文献   

11.
蛋白-蛋白相互作用涉及多种生理过程. 其中HIF-VHL作为局部缺血性心脏病的重要靶标得到了学术界和工业界的广泛关注. 本文使用分子动力学模拟和结合自由能计算研究pro-like的小分子抑制剂对VHL-HIF的抑制机理. Pro-like抑制剂能够与HIF竞争性地结合在VHL蛋白上,从而破坏VHL-HIF相互作用. 基于抑制机理给出了pro-like抑制剂的优化策略.  相似文献   

12.
Inhibition of the p53–MDM2 interaction is a new therapeutic strategy to activate the wild-type function of p53 in tumors. Molecular dynamics (MD) simulations and calculations of binding free energies were performed to investigate the binding mechanisms of p53 and two inhibitors PMI and VZV to MDM2. The results show that van der Waals interaction is the main force to control the bindings of ligands to the hydrophobic cleft of MDM2, which basically agrees with the previous calculated and experimental studies. The results from the RMSF calculation, cross-correlation analysis and principal component (PC) analysis prove that the ligand bindings produce a significant effect on the conformation of the binding cleft of MDM2. In addition, the calculations of residue-based free energy decomposition suggest that the CH–CH, CH–π, and π–π interactions dominate the bindings of p53 and inhibitors to MDM2. This study can provide significant help for the design of potent inhibitors targeting the p53–MDM2 interaction.  相似文献   

13.
The C-C chemokine receptor 2 (CCR2) was proved as a multidrug target in many diseases like diabetes, inflammation and AIDS, but rational drug design on this target is still lagging behind as the information on the exact binding site and the crystal structure is not yet available. Therefore, for a successful structure-based drug design, an accurate receptor model in ligand-bound state is necessary. In this study, binding-site residues of CCR2 was determined using in silico alanine scanning mutagenesis and the interactions between TAK-779 and the developed homology model of CCR2. Molecular dynamic simulation and Molecular Mechanics-Generalized Born Solvent Area method was applied to calculate binding free energy difference between the template and mutated protein. Upon mutating 29 amino acids of template protein and comparison of binding free energy with wild type, six residues were identified as putative hot spots of CCR2.  相似文献   

14.
Despite the efficacy of imatinib therapy in chronic myelogenous leukemia, the development of drug-resistant Abl mutants, especially the most difficult overcoming T315I mutant, makes the search for new Abl T315I inhibitors a very interesting challenge in medicinal chemistry. In this work, a multistep computational framework combining the three dimensional quantitative structure-activity relationship (3D-QSAR), molecular docking, molecular dynamics (MD) simulation and binding free energy calculation, was performed to explore the structural requirements for the Abl T315I activities of benzimidazole/benzothiazole derivatives and the binding mechanism between the inhibitors and Abl T315I. The established 3D-QSAR models exhibited satisfactory internal and external predictability. Docking study elucidated the comformations of compounds and the key amino acid residues at the binding pocket, which were confirmed by MD simulation. The binding free energies correlated well with the experimental activities. The MM-GBSA energy decomposition revealed that the van der Waals interaction was the major driving force for the interaction between the ligands and Abl T315I. The hydrogen bond interactions between the inhibitors and Met318 also played an important role in stablizing the binding of compounds to Abl T315I. Finally, four new compounds with rather high Abl T315I activities were designed and presented to experimenters for reference.  相似文献   

15.
The protonation states of catalytic Asp25/25′ residues remarkably affect the binding mechanism of the HIV-1 protease–inhibitor complex. Here we report a molecular dynamics simulation study, which includes electrostatic polarisation effect, to investigate the influence of Asp25/25′ protonation states upon the binding free energy of the HIV-1 protease and a C2-symmetric inhibitor. Good agreements are obtained on inhibitor structure, hydrogen bond network, and binding free energy between our theoretical calculations and the experimental data. The calculations show that the Asp25 residue is deprotonated, and the Asp25′ residue is protonated. Our results reveal that the Asp25/25′ residues can have different protonation states when binding to different inhibitors although the protease and the inhibitors have the same symmetry. This study offers some insights into understanding the protonation state of HIV-1 protease–inhibitor complex, which could be helpful in designing new inhibitor molecules.  相似文献   

16.

Research on anticancer properties of natural compounds, as effective materials that are available while causing minimal side effects, is growing. Ellagic acid (EA) is a well-known polyphenolic compound, which has been found in both free and complex modes in several medicinal plants such as pomegranate, walnut, and berries. Although many articles have reported anticancer properties for this compound, its mechanism of action has not been fully elucidated. In this study, we used several online and offline bioinformatics tools and databases to identify the mechanism of action of EA on various types of human malignancies including bladder, blood, breast, cervical, colorectal, liver, pancreas, and prostate cancers. In this context, after identifying and extracting EA-affected human genes/proteins that have been reported in various references, we built the related gene networks and determined functional hub genes. In addition, docking was performed to recognize target proteins that react directly with EA and are in fact most affected by this compound. Our findings revealed that EA exerts its anticancer effects by influencing specific hub genes in various types of cancers. Moreover, different cellular signaling pathways are affected by this natural compound. Generally, it turned out that EA probably exerts most of its anticancer activities, through induction of apoptosis, as well as P53 and WNT signaling pathways, and also by affecting the expression of several hub genes such as CDKN1A, CDK4, CDK2, CDK6, TP53, JUN, CCNA2, MAPK14, CDK1, and CCNB1 and especially interactions with some related proteins including P53, CDK6, and MAPK14.

  相似文献   

17.
The formation mechanism for the icosahedral central structure of the He1 13 cluster is proposed and its total energy curve is calculated by the method of a Modified Arrangement Channel Quantum Mechanics. The energy is the function of separation R between two nuclei at the center and an apex of the icosahedral central structure. The result of the calculation has shown that the curve has a minimal energy -37.5765 (a.u.) at R = 2.70ao. The binding energy of He 13 with respect to He 12He was calculated to be 1.4046 a.u. This means that the cluster of He 13 may be formed in an icosahedral central structure with strong binding energy.  相似文献   

18.

The c-Met tyrosine kinase plays an important role in human cancers. Preclinical studies demonstrated that c-Met is over-expressed, mutated and amplified in a variety of human tumor types and design of more potent c-Met inhibitors is a priority. In this study, 14 molecular dynamics simulations of potent type II c-Met inhibitors were run to resolve the critical interactions responsible for high affinity of ligands towards c-Met considering the essential flexibility of protein–ligand interactions. Residues Phe1223 and Tyr1159, involved in pi-pi interactions were recognized as the most effective residues in the ligand binding in terms of binding free energies. Hydrogen bond interaction with Met1160 was also found necessary for effective type II ligand binding to c-Met.

Graphic abstract
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