蛋白质与配体结合亲和力的计算。

Michael K Gilson, Huan-Xiang Zhou
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引用次数: 821

摘要

为了加速新药物和生物探针的发现,需要精确计算小分子与蛋白质亲和力的方法。本文回顾了基于物理的结合模型,首先总结了影响亲和力的势能、溶剂化能和构型熵的变化,并对具体计算方法的讨论进行了理论概述。在蛋白质配体能量学建模方面取得了重要进展,如电子极化的结合和量子力学方法的使用。最近的计算表明,构型熵的变化强烈反对结合,如果要获得精确的亲和,就必须包括熵的变化。分析了线性相互作用能(LIE)和分子力学泊松-玻尔兹曼表面积(MM-PBSA)方法,以及自由能途径方法,这些方法显示出前景,并可能为更广泛的测试做好准备。最终,建模精度的重大改进可能需要在多个方面取得进展,以及对实验的持续验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calculation of protein-ligand binding affinities.

Accurate methods of computing the affinity of a small molecule with a protein are needed to speed the discovery of new medications and biological probes. This paper reviews physics-based models of binding, beginning with a summary of the changes in potential energy, solvation energy, and configurational entropy that influence affinity, and a theoretical overview to frame the discussion of specific computational approaches. Important advances are reported in modeling protein-ligand energetics, such as the incorporation of electronic polarization and the use of quantum mechanical methods. Recent calculations suggest that changes in configurational entropy strongly oppose binding and must be included if accurate affinities are to be obtained. The linear interaction energy (LIE) and molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) methods are analyzed, as are free energy pathway methods, which show promise and may be ready for more extensive testing. Ultimately, major improvements in modeling accuracy will likely require advances on multiple fronts, as well as continued validation against experiment.

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