过渡路径采样以结构动机为指导
YooJin C Sheen1, Christina A Stephens1,2, John M Rosenberg3
1Cardiovascular Research Institute, Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California 94158, United States.
研究人员开发了一种新的模拟技术,使用结构相似度指标来预测蛋白质构造变化. 这种方法引导蛋白质动态到目标状态,即使同源蛋白质之间的序列相似性很低.
科学领域:
- 计算生物学是一种计算生物学.
- 结构生物学是结构生物学.
- 生物物理学的生物物理.
背景情况:
- 了解动态蛋白质功能需要了解构造状态和转变.
- 确定单个蛋白质的所有关键构造状态仍然具有挑战性.
- 从同类蛋白质中利用构造数据是很困难的,低序列相同性.
研究的目的:
- 开发一种用于预测蛋白质构造变化的新型模拟技术.
- 使用结构相似度指标 (SSM) 将蛋白质动态引导到目标状态.
- 为了能够模拟连同同源蛋白的序列相似性较低的构造过渡.
主要方法:
- 开发了一种使用距离矩阵到目标状态的模拟技术,以定义SSM.
- 应用SSM指导蛋白质折叠从已知的形状到目标状态.
- 基于结构图案的多维通用SSM,用于完全的蛋白质折叠模拟.
主要成果:
- 通过使用SSM,成功将β-β-α (BBA) 蛋白质的β-hairpin部分折叠到其原始状态.
- 证明了基于具有较低序列相似性的同类结构的蛋白质过渡到新构造的模拟.
- 与SSM相结合的不同增强采样方法进行比较,讨论它们的优缺点.
结论:
- 基于SSM的模拟技术有效地引导蛋白质动态以达到目标形状.
- 这种方法可以预测蛋白质的构造变化,其与已知结构的序列相似性较低.
- 将蛋白质状态空间分解为结构动图提供了一个有效的框架来探索构造性景观.
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