在粗粒氨基酸和水模型之间开发,验证和应用非结合性相互作用参数
Esmat Mohammadi1, Soumil Y Joshi1, Sanket A Deshmukh1
1Department of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Biomacromolecules
|August 21, 2023
概括
新的粗粒度模型准确地预测了氨基酸与水的相互作用,这对于理解生物分子稳定性和溶液中的功能至关重要. 这些可转移模型有助于研究生物材料自组装.
科学领域:
- 计算化学是一种计算化学.
- 生物物理学的生物物理.
- 材料科学是一种材料科学.
背景情况:
- 氨基酸与水的相互作用对生物分子的稳定性,折叠和在水环境中的功能至关重要.
- 准确的分子层次理解对于操纵溶液中的生物分子行为至关重要.
研究的目的:
- 开发和验证20个氨基酸的粗粒度 (CG) 模型和一站式CG水模型的非结合性相互作用参数.
- 为了能够准确地模拟水溶液中的生物分子系统.
主要方法:
- 使用人工神经网络 (ANN) 辅助的粒子群优化 (PSO) 方法优化12-6个莱纳德-斯潜在参数.
- 使用二的全原子 (AA) 分子动力学 (MD) 模拟来计算吉布斯水合的自由能量.
- 使用氨基酸侧链类似物验证参数可转移性.
主要成果:
- 为CG氨基酸和CG水开发了准确的非结合力场 (FF) 参数,重现了无水化能量.
- 对于氨基酸类似物来说,计算和实验的无水化能量之间有很好的一致性.
- 成功地应用了模型来模拟类两类自组合.
结论:
- 开发的CG模型和参数是可转移的,准确的模拟氨基酸与水的相互作用.
- 这些模型为研究生物材料和生物分子的自我组装提供了宝贵的工具.
- 促进了对生物系统中自我组装过程的机械学理解.
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