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关于使用分子动力学受体构象进行虚拟筛选

On the use of molecular dynamics receptor conformations for virtual screening.

作者信息

Nichols Sara E, Baron Riccardo, McCammon J Andrew

机构信息

Department of Chemistry and Biochemistry, Center for Theoretical Biological Physics, University of California, San Diego, La Jolla, CA, USA.

出版信息

Methods Mol Biol. 2012;819:93-103. doi: 10.1007/978-1-61779-465-0_7.

Abstract

Receptors are inherently dynamic and this flexibility is important to consider when constructing a model of molecular association. Conformations from molecular dynamics simulations, a well-established method for examining protein dynamics, can be used in virtual screening to account for flexibility in structure-based drug discovery. Different receptor configurations influence docking results. Molecular dynamics simulations can provide snapshots that improve virtual screening predictive power over known crystal structures, most likely as a result of sampling more relevant receptor conformations. Here we highlight some details and nuances of using such snapshots and evaluating them for predictive performance.

摘要

受体本质上是动态的,在构建分子缔合模型时,考虑这种灵活性很重要。分子动力学模拟是一种成熟的研究蛋白质动力学的方法,其产生的构象可用于虚拟筛选,以在基于结构的药物发现中考虑结构灵活性。不同的受体构型会影响对接结果。分子动力学模拟可以提供一些快照,这些快照比已知的晶体结构更能提高虚拟筛选的预测能力,这很可能是因为对更多相关受体构象进行了采样。在这里,我们强调使用此类快照并评估其预测性能的一些细节和细微差别。

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