HydraMap v.2:用精细的统计潜力预测水化地点和溶解能量
Yan Li1, Zhe Zhang1, Renxiao Wang1
1Department of Medicinal Chemistry, School of Pharmacy, Fudan University, 826 Zhangheng Road, Shanghai 201203, People's Republic of China.
Journal of chemical information and modeling
|July 11, 2023
概括
在HydraMap v.2中,通过预测蛋白质 - 配体结合过程中的水化位变化和溶解能量,完善了分子建模. 这种改进的方法有助于理解结合机制并优化药物发现.
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:
- 准确地建模蛋白结合口袋中的水分子动力学是具有挑战性的.
- 干结合改变了水网络,影响了分子建模中的能量计算.
- 像HydraMap这样的先前实证方法提供了准确性和速度的平衡.
研究的目的:
- 介绍HydraMap v.2,这是HydraMap方法的增强版本.
- 为了提高在蛋白质 - 配体相互作用中的水化位点和溶解能量的预测.
- 为基于结构的药物发现和率优化提供实用工具.
主要方法:
- 更新了使用 17,042 个晶体蛋白质结构的蛋白质-水相互作用潜力.
- 嵌入的联结体-水相互作用潜力来自9,878个小分子的分子动力学模拟.
- 结合的潜力来预测和比较在带结合之前和之后的水化位点.
主要成果:
- HydraMap v.2 识别了关键的水分子,包括桥接和可替换的水分子,参与结合.
- 该方法成功解释了MCL-1抑制剂的结构-活性关系.
- 计算的溶解能量与六个标蛋白的实验性结合亲和力有很好的相关性.
结论:
- HydraMap v.2提供了一种具有成本效益的方法,用于估计蛋白质 - 配体结合中的溶解能量.
- 这种增强的方法是指导基于结构的药物发现中的优化实用的.
- 这个工具有助于理解水在分子识别中的作用.
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