联结过渡状态有多强?
Samik Bose1, Samuel D Lotz1, Indrajit Deb1
1Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, United States.
计算模型使用结合动力学预测药物的有效性. 研究人员模拟了可溶性环氧化酶 (sEH) 抑制剂的联体解结,揭示了基于动态的药物设计的挑战.
科学领域:
- 计算化学
- 生物物理
- 药理学
背景情况:
- 药物的有效性通常可以通过药物结合动力学 (按速率,离速率) 来预测,而不是单独使用热力学.
- 优化药物化合物需要基于动力学的预测计算模型.
- 对于这些模型来说,尽管它们的寿命很短,但了解结过渡状态至关重要.
研究的目的:
- 用可溶性环氧化酶 (sEH) 抑制剂进行联体解结事件的计算模型.
- 分析具有不同停留时间的抑制剂的连体结合过渡状态组合 (TSEs).
- 确定基于动态的药物设计的挑战和机遇.
主要方法:
- 使用权重组合方法REVO (通过变异优化重新采样组合).
- 五种sEH抑制剂的模拟解结路径,停留时间为14. 25至31. 75分钟.
- 分析解结合体,专注于过渡状态组合体特征和蛋白质-连接体相互作用.
主要成果:
- 在居住时间的数量范围内达到平均预测准确度.
- 对于具有相似结合姿势的体,观察到TSE (空间分布,蛋白质-体相互作用) 的显著差异.
- 在考虑像连接体自由度这样的一般特征时,确定了TSE的共同点.
结论:
- 联结过渡状态组合表现出复杂的行为,即使在相似的结合姿势中也存在差异.
- 一般特征,如连接体自由度,在不同的TSE中显示相似性.
- 由于过渡状态的复杂性,基于动态的合理药物设计仍然存在重大挑战.
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