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Calculating Water Thermodynamics in the Binding Site of Proteins - Applications of WaterMap to Drug Discovery

机译:计算蛋白质结合位点的水热力学 - 水产映射对药物发现的应用

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The ability to accurately characterize the solvation properties (water locations and thermodynamics) of biomolecules is of great importance to drug discovery. While crystallography, NMR, and other experimental techniques can assist in determining the structure of water networks in proteins and protein-ligand complexes, most water molecules are not fully resolved and accurately placed. Furthermore, understanding the energetic effects of solvation and desolvation on binding requires an analysis of the thermodynamic properties of solvent involved in the interaction between ligands and proteins. WaterMap is a molecular dynamics-based computational method that uses statistical mechanics to describe the thermodynamic properties (entropy, enthalpy, and free energy) of water molecules at the surface of proteins. This method can be used to assess the solvent contributions to ligand binding affinity and to guide lead optimization. In this review, we provide a comprehensive summary of published uses of WaterMap, including applications to lead optimization, virtual screening, selectivity analysis, ligand pose prediction, and druggability assessment.
机译:准确表征生物分子的溶剂化性能(水位置和热力学)的能力非常重视药物发现。虽然结晶术,NMR和其他实验技术可以有助于确定蛋白质和蛋白质 - 配体复合物中的水网络结构,但大多数水分子没有完全分辨和精确地放置。此外,了解溶剂化和降解对结合的能量影响需要分析溶剂的热力学性质,其参与配体和蛋白质之间的相互作用。 WaterMap是一种基于分子动力学的计算方法,使用统计力学来描述蛋白质表面的水分子的热力学性质(熵,焓和自由能)。该方法可用于评估与配体结合亲和力的溶剂贡献和引导铅优化。在本次审查中,我们提供了Saturmap的出版使用综合摘要,包括用于铅优化,虚拟筛选,选择性分析,配体姿态预测和可药剂评估的应用。

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