粘性盐:在全原子力场中,单价离子对酸化的过结合
Jules Marien1, Julie Puyo-Fourtine1, Chantal Prévost1
1Université Paris Cité, CNRS, Laboratoire de Biochimie Théorique, 13 rue Pierre et Marie Curie, 75005, Paris, France.
新的力场参数改善了对酸化蛋白质的模拟. 这涉及模型内在无序蛋白质的工件,对于理解神经退行性疾病 (如阿尔茨海默氏症和帕金森症) 至关重要.
科学领域:
- 生物化学和分子生物物理学
- 计算生物学和化学信息学
背景情况:
- 酸化是一种关键的翻译后修饰,它调节了蛋白质的动态和功能.
- 内在无序蛋白质 (IDP) 是细胞过程的核心,并与神经退行性疾病有关.
- 之前的模拟显示了对强力场敏感的残基之间的阴离子介导的"n-合作" (nP-collabs).
研究的目的:
- 通过评估阴离子/酸盐相互作用来评估nP-collabs的物理相关性.
- 为酸化残留物开发改进的计算力场参数.
- 为了提高分子动力学模拟对多酸化蛋白和IDPs的准确性.
主要方法:
- 用各种经典力场计算模型酸盐的透系数 (φ).
- 使用电子连续校正 (ECC) 方法开发了新的力场参数.
- 使用ECC衍生的参数模拟了7倍化罗多素 (7PP),并与实验数据进行了比较.
主要成果:
- 经典力场通常高估了阴离子/酸盐相互作用的强度.
- 对于CHARMM36m和AmberFF99SB-ILDN的ECC衍生参数显示出与实验中的φ值有显著一致.
- 用ECC参数进行的模拟改善了对7PP的实验二次化学转移的定性和定量一致性.
结论:
- 经典力场中长期存在的nP-collabs是由于缺乏明确的极化而造成的工件.
- 来自ECC的参数提供了对酸化蛋白质的更准确的表示.
- 改善化IDP的建模对于了解阿尔茨海默氏症和帕金森症等疾病至关重要.
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