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计算机辅助药物设计中预测结合亲和力的一种新方法。

A new method for predicting binding affinity in computer-aided drug design.

作者信息

Aqvist J, Medina C, Samuelsson J E

机构信息

Department of Molecular Biology, Uppsala University, Sweden.

出版信息

Protein Eng. 1994 Mar;7(3):385-91. doi: 10.1093/protein/7.3.385.

DOI:10.1093/protein/7.3.385
PMID:8177887
Abstract

A new semi-empirical method for calculating free energies of binding from molecular dynamics (MD) simulations is presented. It is based on standard thermodynamic cycles and on a linear approximation of polar and non-polar free energy contributions from the corresponding MD averages. The method is tested on a set of endothiapepsin inhibitors and found to give accurate results both for absolute as well as relative free energies.

摘要

本文提出了一种通过分子动力学(MD)模拟计算结合自由能的新的半经验方法。该方法基于标准热力学循环以及相应MD平均值对极性和非极性自由能贡献的线性近似。该方法在一组内硫肽酶抑制剂上进行了测试,发现无论是绝对自由能还是相对自由能都能给出准确的结果。

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