碎片对接的溶剂位置预测及其对碎片基础药物发现的影响
Laura Almena Rodriguez1, Vera A Spanke1,2, Christian Kersten1,3
1Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg-University Mainz, Staudingerweg 5, Mainz 55128, Germany.
Journal of chemical information and modeling
|November 24, 2025
概括
在对接模拟中包括水分子可以提高基于碎片的药物发现准确性. 使用多个对接工具和水模型的共识方法可以提高碎片重复对接和交叉对接任务的性能.
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:
- 在基于片段的虚拟选中,对低亲和度片段的准确姿势和评分仍然具有挑战性.
- 水分子对对接性能的影响经常受到争论,缺乏确的证据.
研究的目的:
- 为了统计评估水晶学或预测水分子对碎片重制性能的影响.
- 为了阐明碎片的交叉对接到由较大的连接体占据的位置,反之亦然,模仿现实的选场景.
主要方法:
- 编制了一个新的基准数据集,Frag2Lead,包括103个碎片蛋白和蛋白复合体.
- 用水分子和没有水分子对接性能的综合统计分析.
- 评估交叉对接场景和约束的影响.
主要成果:
- 包括水分子在内,一般可以改善各种目标的对接性能.
- 最佳的对接工具和水模型组合因具体目标而异.
- 结合多种溶剂模型和对接工具的共识方法证明对重复对接和交叉对接都有好处.
结论:
- 水分子在提高基于碎片的选对接精度方面发挥着至关重要的作用.
- 对于强大的片段对接性能,建议采用共识策略.
- 基于模板或受药量限制的对接辅助工具在碎片生长方法中构成预测.
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