蛋白质两极化干电荷对相对蛋白质干结合 afinities 的影响
Suliman Adam1, Itamar Kass1, Dana Krepel-Zussman1
1InterX LTD (a Subsidiary of NeoTX Therapeutics Ltd), 2 Pekeris Street, Rehovot 7670202, Israel.
Journal of chemical theory and computation
|September 11, 2024
概括
预测分子结合能量对于药物设计至关重要. 一种新的方法,蛋白质诱导极化 (PIP) 收费,通过计算中考虑蛋白质效应来提高准确性.
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:
- 对相对结合自由能 (RBFE) 的准确预测对于计算机辅助药物设计至关重要.
- 使用固定电荷力场 (FF) 的经典分子动力学模拟是标准的,但忽略了蛋白质极化效应.
- 这种遗漏可能会导致蛋白质 - 连接体系统的自由能量计算中的重大错误.
研究的目的:
- 开发一种新型的对联体部分电荷的参数化方案,其中包括蛋白质诱导极化 (PIP) 效应.
- 评估PIP收费对蛋白质-连接体系统中RBFE计算准确性的影响.
主要方法:
- 一个新的方案,蛋白质诱导的偏振 (PIP) 收费,被开发,以考虑来自蛋白质环境的静电偏振.
- 这涉及单点量子力学/分子力学 (QM/MM) 计算蛋白质/水系统中的联体电荷.
- 对于经过充分研究的蛋白质-连接体系统,使用PIP电荷和标准非极化GAFF电荷计算RBFE.
主要成果:
- 使用 PIP 费用计算的 RBFEs 显示出明显的改善,或与使用标准 GAFF 费用计算的 RBFEs 相当.
- PIP收费方案有效地考虑了来自周围蛋白质的静电偏振效应.
- 与标准参数化程序相比,该方法不会引入大量的计算开销.
结论:
- PIP收费方案提供了一种简单有效的方法,可以将蛋白质两极分化纳入具有约束力的自由能量计算中.
- 这种方法提高了RBFE预测的准确性,有助于更可靠的计算机辅助药物设计.
- 该方法为提高生物系统中分子相互作用建模的精度提供了有价值的工具.
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