模拟合物结合场地水网,通过合物竞争和确定地点:对合物结合方向和相对结合亲和关系的影响
Anmol Kumar1, Himanshu Goel1, Wenbo Yu1
1Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 Penn Street, HSF II, Baltimore, Maryland 21201, United States.
Journal of chemical theory and computation
|December 5, 2024
概括
一种新的计算方法,SILCS-WATER,准确地模拟了水分子在蛋白质-连接体相互作用中的情况,改善了对药物设计的结合方向和亲和力的预测.
科学领域:
- 计算化学是一种计算化学.
- 结构生物学是结构生物学.
- 药物发现 药物发现
背景情况:
- 水分子显著影响蛋白质-连接体相互作用,但它们的准确建模仍然是一个挑战.
- 确定水的数量,并与配体和蛋白质一起取样它们的构造,是计算密集的.
研究的目的:
- 介绍一下SILCS-WATER,它是通过合物竞争性和-蒙特卡洛 (SILCS-MC) 方法进行地点识别的延伸.
- 为了确定水分子位置及其对连接体结合方向和亲和力的影响.
主要方法:
- SILCS-WATER采用蒙特卡洛 (MC) 取样,在结合点中采用具有明确水分子的配体.
- 有助于结合的水被根据能量和距离的截止值选择.
- 通过考虑与SILCS FragMaps的联体-水重叠以及它们的相互作用能量来实现融合.
主要成果:
- SILCS-WATER方法成功地识别了关键的水分子,并增强了连接体结合方向.
- 与标准的SILCS-MC相比,10个系统中的6个系统的相对结合亲和度预测得到了改善.
- 精确地复制结晶学连接体方向,与更好的结合亲和力预测相关联.
结论:
- SILCS-WATER准确地模拟了水在蛋白质 - 配体结合中的作用,改善了亲和力预测.
- 该方法识别了可以向接物修饰以增强结合的水.
- 这种方法提供了对水网络的新见解,以及它们对有约束力的贡献,有利于计算机辅助药物设计.
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