优化生产使用的绝对有约束力的自由能源计算
Zhiyi Wu1, Gerhard Konig1, Stefan Boresch2
1Recursion, Schrodinger Building, Oxford OX4 4GE, U.K.
Journal of chemical theory and computation
|August 27, 2025
概括
优化的化学绝对结合自由能量 (ABFE) 计算提高了蛋白质-联体结合亲和度的预测. 新的协议提高了模拟稳定性和药物发现的趋同性,减少了自由能量计算中的错误.
科学领域:
- 计算化学
- 药物发现
- 分子建模
背景情况:
- 在小分子药物发现中,蛋白质-连接体结合性预测至关重要.
- 化学绝对结合自由能量 (ABFE) 的计算是准确的,但在大型项目中可能会出现不稳定性和差距.
研究的目的:
- 优化 ABFE 协议以提高蛋白质 - 连接物结合性预测的稳定性,收性和精度.
- 解决目前大规模药物发现管道中的ABFE方法的局限性.
主要方法:
- 开发了一种新型的蛋白质 - 连接体姿势限制选择算法, 结合键数据以防止数值不稳定性和改善融合.
- 优化了灭绝协议以最大限度地减少能量错误.
- 重组了相互作用的缩放 (静电学,莱纳德-斯,束,分子内扭曲) 以系统地提高精度.
主要成果:
- 优化的ABFE协议在四个基准系统 (TYK2,P38,JNK1,CDK2) 中显示出较低的自由能量结果差异.
- 与原始方案相比,在平方根平均误差方面取得了高达0. 23kcal/ mol的改善.
- 这些修改导致了更稳定,更可靠的模拟.
结论:
- 实施的优化大大提高了蛋白质-结亲和度预测的化学ABFE计算的准确性,精度和可靠性.
- 这些增强的协议为计算药物发现提供了更强大的工具,使潜在药物候选者的选更有效.
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