严格的蛋白质-连接体结合自由能量计算的最大和当前准确性
Gregory A Ross1,2, Chao Lu3, Guido Scarabelli4
1Schrödinger Inc, New York, NY, USA. gregoryaross@isomorphiclabs.com.
Communications chemistry
|October 14, 2023
概括
自由能量扰动 (FEP) 方法可以准确地预测分子结合亲缘关系,当协议被仔细遵循时,与实验可重复性竞争. 这项研究提供了一个大型数据集,用于评估药物发现中的FEP准确性.
科学领域:
- 计算化学是一种计算化学.
- 药物发现 药物发现
- 分子建模分子建模
背景情况:
- 计算技术通过预测分子相互作用来加速药物发现.
- 自由能量扰动 (FEP) 是一种严格的基于物理学的方法,用于预测相对结合亲和力.
- 精确的准确性和FEP的局限性仍然是积极调查的领域.
研究的目的:
- 评估领先的自由能量扰动 (FEP) 工作流程的准确性.
- 通过评估实验可重复性来确定FEP可实现的精度极限.
- 在潜在的药物发现研究中提供可靠的协议,以最大限度地提高FEP的准确性.
主要方法:
- 开发和利用最大的公开可用的蛋白质和同源小分子数据集用于FEP分析.
- 系统评估领先的FEP工作流程的预测性能.
- 对实验相对亲和度测量的调查,以确定可重现性和准确性基准.
主要成果:
- 实验结合亲和度测量的准确性和可重复性观察到显著的变化.
- 在精心准备蛋白质和带结构时,FEP方法的准确性与实验可重复性相当.
- 结合性试验和功能性试验之间发现了相关性,表明实验数据的一致性.
结论:
- 仔细的结构准备对于实现FEP高精度至关重要.
- FEP是药物发现的强大工具,能够达到实验性可重复性水平.
- 提出的数据集和协议可以指导未来的FEP应用程序,以加强候选药物的识别.
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