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应用λ动力学方法评估抑制剂与丙型肝炎病毒蛋白酶的相对结合自由能。

Application of the lambda-dynamics method to evaluate the relative binding free energies of inhibitors to HCV protease.

作者信息

Guo Zhuyan, Durkin James, Fischmann Thierry, Ingram Richard, Prongay Andrew, Zhang Rumin, Madison Vincent

机构信息

Department of Structural Chemistry, Schering-Plough Research Institute, 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, USA.

出版信息

J Med Chem. 2003 Dec 4;46(25):5360-4. doi: 10.1021/jm030040o.

Abstract

The lambda-dynamics method was used to calculate the relative binding free energies of inhibitors to the hepatitis C virus (HCV) protease. A total of seven HCV protease p-side product inhibitors were used in this study. The inhibitors are 6-mer peptides spanning P6-P1 (Ac-Asp-d-Glu-Leu-Ile-Cha-P1-CO(2)H). For this protein, S1 is a major hydrophobic pocket for binding. Binding of various residues to this pocket was investigated through free energy simulations and experimental inhibition constants. Several 300 ps lambda-dynamics simulations in explicit solvent were performed. The relative binding free energy was estimated from these simulations. From a single simulation, the inhibitors can be correctly classified into highly potent and weakly potent groups. The multiple simulations give an accurate rank ordering of inhibitor potency; computed and experimental binding free energies agree with 0.6 kcal/mol for five of the seven inhibitors. In addition, free energy perturbation (FEP) calculations were carried out to validate the results from lambda-dynamics. A total of 6 ligand pairs were compared. For each pair, 5-11 windows were used to map one ligand to the other. The cumulative simulation time was over 2 ns for each ligand pair. For four of the six ligand pairs, the lambda-dynamics free energy difference fits better than the FEP difference to the experimental value. The fact that the lambda-dynamics method achieved similar results in only a fraction of the total simulation time for FEP further demonstrates the robustness of the lambda-dynamics method.

摘要

采用λ动力学方法计算抑制剂与丙型肝炎病毒(HCV)蛋白酶的相对结合自由能。本研究共使用了7种HCV蛋白酶p侧产物抑制剂。这些抑制剂是跨越P6 - P1的6聚体肽(Ac - Asp - d - Glu - Leu - Ile - Cha - P1 - CO₂H)。对于该蛋白,S1是主要的疏水结合口袋。通过自由能模拟和实验抑制常数研究了各种残基与该口袋的结合情况。在显式溶剂中进行了几次300 ps的λ动力学模拟。从这些模拟中估计相对结合自由能。从单次模拟中,可将抑制剂正确分类为高效和低效组。多次模拟给出了抑制剂效力的准确排序;对于7种抑制剂中的5种,计算得到的结合自由能与实验值的误差在0.6 kcal/mol以内。此外,进行了自由能微扰(FEP)计算以验证λ动力学的结果。总共比较了6对配体。对于每一对,使用5 - 11个窗口将一个配体映射到另一个配体。每对配体的累积模拟时间超过2 ns。对于6对配体中的4对,λ动力学自由能差值比FEP差值更符合实验值。λ动力学方法在仅占FEP总模拟时间一小部分的情况下就取得了相似结果,这一事实进一步证明了λ动力学方法的稳健性。

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