多分子λ-动力学:探测药物耐药性与同时发生的蛋白质和连接体乱
Michael P Liesen1,2, Ryan L Hayes3,4, Charles L Brooks Iii5,6
1Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana 46202, United States.
The journal of physical chemistry letters
|June 12, 2025
概括
多分子λ-动力学 (MMλD) 能够同时模拟药物和蛋白质的变化,以预测耐药性. 这种新方法准确地模拟了ABL激酶的突变,有助于对抗性癌症的药物发现.
科学领域:
- 计算化学是一种计算化学.
- 分子动力学分子动力学
- 药物发现 药物发现
背景情况:
- 化学自由能计算在药物发现中很常见.
- 由于错误的突变而导致的耐药性是一个挑战.
- 传统的方法很难有效地评估多个分子修饰.
研究的目的:
- 为药物耐药性研究引入和验证多分子λ-动力学 (MMλD).
- 评估MMλD模拟同步带和蛋白质扰动的能力.
- 使用MMλD探索Abl激酶中的耐药性.
主要方法:
- 开发和应用多分子λ-动力学 (MMλD).
- 在单个模拟中同时进行了连接体和蛋白质扰动.
- 采样的配体结合了原生和T315I突变ABl激酶.
主要成果:
- MMλD与传统的λ-动力学 (λD) 计算 (0.21 kcal/mol误差) 有很高的一致性.
- MMλD结果与实验数据 (误差为0.94 kcal/mol) 非常相匹配.
- 识别的蛋白质序列特定的连接体构造性采样.
结论:
- MMλD是药物发现的强大而准确的工具,特别是用于解决耐药性问题.
- 该方法可以在单个模拟中对多个分子修饰进行评估.
- MMλD推进了针对性治疗中药物耐药性机制的研究.
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