将交换与分子动力学相结合,改善了对联体结合的预测
Benjamin T Walters1,2, Alexander W Patapoff1, James R Kiefer2
1Department of Biochemistry and Cellular Pharmacology, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States.
我们开发了交换实验结构预测 (HX-ESP),一种新的方法,将交换 (HX) 数据与分子动力学 (MD) 模拟相结合. 在药物发现中,HX-ESP准确地预测了连接体结合模式,优于在药物发现中具有挑战性的目标的灵活对接.
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:
- 预测连接体结合模式对于药物发现至关重要.
- 传统的分子动力学 (MD) 模拟通常需要大量的计算时间.
- 准确地建模蛋白标中的构造变化仍然是一个挑战.
研究的目的:
- 引入一种新的计算方法,即交换实验结构预测 (HX-ESP).
- 为了提高预测连接体结合模式的准确性和效率.
- 针对具有显著形状灵活性的目标,解决传统MD模拟的局限性.
主要方法:
- 整合交换 (HX) 实验数据与MD模拟.
- 开发用于结构预测的HX-ESP工作流.
- 将HX-ESP与PAK1和MAP4K1 (HPK1) 目标的X射线晶体学数据进行比较.
主要成果:
- HX-ESP准确地预测了连接体结合模式,包括那些需要大形状变化的模式.
- 该方法的性能优于灵活对接,特别是对于诱导显著目标调整的配体.
- 与传统的MD相比,HX-ESP减少了结合预测所需的计算时间.
结论:
- 在药物发现的计算建模中,HX-ESP提供了显著的进步.
- 该方法加速了有效治疗候选者的识别.
- 使用实验HX数据进行模拟的客观指导可以提高预测的准确性.
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