Analysis of ligand binding to proteins using molecular dynamics simulations

IF 1.9 4区 数学 Q2 BIOLOGY Journal of Theoretical Biology Pub Date : 2008-09-21 DOI:10.1016/j.jtbi.2008.04.036
M.R. Housaindokht , M.R. Bozorgmehr , M. Bahrololoom
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引用次数: 37

Abstract

This work aims to explore theoretically the molecular mechanisms of ligand binding to proteins through the use of molecular dynamics simulations. The binding of sodium dodecyl sulfate (SDS) to cobra cardio toxin A3 (CTX A3) and thiourea (TOU) to lysozyme have been chosen as the two model systems. Data acquisitions were made by Gromacs software. To begin with, the collisions of ligand molecules with every residue of CTX A3 and lysozyme were evaluated. With this information in hand, the average numbers of collisions with each residue was defined and then assessed. Next, a measure of the affinity of a residue, Pi, referred to as conformational factor, toward a ligand molecule was established. Based on the results provided, all site-making residues for CTX A3 and lysozyme were identified. The results are in good agreement with the experimental data. Finally, based on this method, all site-making residues of bovine carbonic anhydrase (BCA) toward the SDS ligand were predicted.

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用分子动力学模拟分析配体与蛋白质的结合
本工作旨在通过分子动力学模拟,从理论上探讨配体与蛋白质结合的分子机制。选择十二烷基硫酸钠(SDS)与眼镜蛇心脏毒素A3 (CTX A3)的结合和硫脲(TOU)与溶菌酶的结合作为两种模型体系。数据采集由Gromacs软件完成。首先,评估了配体分子与ctxa3和溶菌酶的每个残基的碰撞。有了这些信息,就定义了与每个残基碰撞的平均次数,然后对其进行评估。接下来,建立了残基对配体分子的亲和力Pi(称为构象因子)的度量。在此基础上,对ctxa3和溶菌酶的所有造位残基进行了鉴定。计算结果与实验数据吻合较好。最后,利用该方法预测了牛碳酸酐酶(BCA)对SDS配体的所有造位残基。
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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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