莱斯科尔 (LeScore):一个评分函数,它包含了蛋白质 - 干对接的气结合处罚
Aowei Xie1, Guangjian Zhao2, Huicong Liang2
1College of Food Science and Engineering, Ocean University of China, Qingdao, 266404, Shandong, People's Republic of China.
Journal of molecular modeling
|March 3, 2025
概括
一个新的评分功能,LeScore,通过惩罚断裂的水键来改善分子对接. 这提高了预测结合能量的准确性,并在虚拟选中识别活性化合物.
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:
- 分子对接对于基于结构的虚拟选至关重要,它严重依赖于准确的评分功能.
- 现有的评分功能往往无法充分建模溶剂键的破坏,影响结合能量的预测准确性.
- 这种限制阻碍了精确的虚拟选,特别是当极性相互作用至关重要时.
研究的目的:
- 介绍LeScore,一种旨在提高分子对接精度的新型评分功能.
- 具体地解决了当前评分函数中溶剂键断裂的不充分核算问题.
- 通过惩罚不利的极性相互作用来提高结合能量的预测.
主要方法:
- 莱斯科尔是作为描述符的线性组合而开发的,包括范德瓦尔斯,键能,联体菌株和新的键惩罚 (HBP).
- 该函数在PDBbind 2019数据集上使用多重线性回归 (MLR) 进行了优化,评估了12个描述符组合.
- 性能使用Pearson和Spearman相关系数进行评估,并根据"有用诱目录:增强 (DUD-E) "数据集进行验证.
主要成果:
- 莱斯科尔在训练组中实现了0.53的皮尔森相关系数 (rp),在测试组中达到0.52.
- 评分功能在DUD-E子集上显示了更好的选能力,在特定目标上达到0.71的AUC.
- 莱斯科尔的表现优于缺乏HBP的模型,提高了活性化合物的排名和分类.
结论:
- 莱斯科尔为虚拟选提供了强大的进步,通过在水性环境中破坏键的特殊惩罚.
- 这种新的方法提高了结合能量预测的准确性,特别是对于键是必不可少的配体.
- 莱斯科尔为更有效的基于结构的药物发现和引优化提供了有价值的工具.
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