在药物发现中利用蛋白质形状的热力学
Bin W Zhang1, Mikolai Fajer1, Wei Chen1
1Schrödinger Inc., 1540 Broadway, 24th Floor, New York, New York 10036-4041, United States.
Journal of chemical information and modeling
|December 16, 2024
概括
基于结构的药物设计需要准确的蛋白质模型. 蛋白质重组自由能量扰动 (PReorg-FEP) 通过计算选择正确的蛋白质构造,改善各种系统的药物发现准确性.
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:
- 基于结构的药物设计依赖于精确的全息复杂结构.
- 当结构模两可存在时,选择正确的蛋白质构造是至关重要的.
- 现有的方法可能会在形状灵活性和带诱导的变化方面扎.
研究的目的:
- 为了验证计算方法蛋白质重组自由能量扰动 (PReorg-FEP).
- 为了证明PReorg-FEP在选择正确的蛋白质形状方面的定量准确性.
- 评估PReorg-FEP在各种药物发现场景中的实用性.
主要方法:
- 大规模验证PReorg-FEP.
- 适用于来自药物发现活动的候选体型的14个不同系统.
- 对Apo,联体诱导和pH依赖的形状变化的分析.
主要成果:
- 在候选人中,PReorg-FEP可以定量选择正确的蛋白质构造.
- 在14个不同的系统中成功应用,包括领先的识别和优化阶段.
- 证明了模拟pH取决于形状变化的能力.
结论:
- PReorg-FEP是一种经过验证的计算工具,用于在药物设计中选择相关的蛋白质构造.
- 这种方法通过解决结构模两可的问题,提高了对基于结构的药物设计的信心.
- PReorg-FEP有助于理解和设计具有结构灵活性的蛋白质.
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