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运用分子动力学和 MM-PBSA 结合自由能计算评估蛋白激酶选择性。

Assessing protein kinase selectivity with molecular dynamics and mm-pbsa binding free energy calculations.

机构信息

Dipartimento di Scienze Farmaceutiche, Università di Modena e Reggio Emilia, Via Campi 183, 41125 Modena, Italy.

出版信息

Chem Biol Drug Des. 2011 Aug;78(2):252-9. doi: 10.1111/j.1747-0285.2011.01140.x. Epub 2011 Jun 13.

Abstract

An application of molecular dynamics and molecular mechanics Poisson-Boltzmann surface area techniques to the prediction of protein kinase inhibitor selectivity is presented. A highly active and selective ERK2 inhibitor was placed in equivalent orientations in five different protein kinases (SRC, LCK, GSK3, JNK3 and Aurora-A). Binding free energies were then computed with the molecular mechanics Poisson-Boltzmann surface area approach using 15 nanosecond fully solvated molecular dynamics trajectories of the corresponding protein-ligand complexes. The results show correlation with experimentally determined selectivities and provide useful insights into the underlying structural determinants for selectivity.

摘要

本文应用分子动力学和分子力学泊松-玻尔兹曼表面区域技术来预测蛋白激酶抑制剂的选择性。将一种高活性和选择性的 ERK2 抑制剂以等效构象置于五种不同的蛋白激酶(Src、LCK、GSK3、JNK3 和 Aurora-A)中。然后使用相应蛋白-配体复合物的 15 纳秒完全溶剂化分子动力学轨迹,通过分子力学泊松-玻尔兹曼表面区域方法计算结合自由能。结果与实验测定的选择性相关,并为选择性的潜在结构决定因素提供了有用的见解。

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