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Updated: Jun 6, 2025

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

通过改善在罗塞塔的采样和评分来推进膜相关蛋白质对接.

Rituparna Samanta¹, Ameya Harmalkar¹, Priyamvada Prathima¹

¹Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland 21218, United States.

Journal of chemical theory and computation

|November 22, 2024

概括

罗塞塔-MPDock准确地预测了膜蛋白复杂结构,即使是灵活的蛋白质. 整合AlphaFold2-multimer进一步提高了对这些关键生物组件建模的成功率.

科学领域:

结构生物学是结构生物学.
计算生物学是一种计算生物学.
生物物理学的生物物理.

背景情况:

膜蛋白 (MPs) 对于细胞功能至关重要,包括信号转导和免疫反应,并且是关键的药物标.
对MP结构的实验性确定具有挑战性,限制了对其复杂性的理解.
计算对接为模拟MP复杂结构提供了一种可行的方法.

研究的目的:

介绍Rosetta-MPDock,这是一个用于灵活的跨膜 (TM) 蛋白质对接的新型计算协议.
评估Rosetta-MPDock在预测TM蛋白质复杂结构方面的表现,考虑结合诱导的构造变化.
评估AlphaFold2-multimer和Rosetta-MPDock的综合方法,以提高结构预测.

主要方法:

开发了Rosetta-MPDock,这是一个灵活的TM蛋白质对接协议,在隐式膜环境中运行.
用于对接的柔性单体的采样形态组合.
在29个具有不同灵活性 (刚性,中度灵活性,柔性) 的TM蛋白复合体上进行了Rosetta-MPDock的基准测试.
集成的AlphaFold2-多元器件与Rosetta-MPDock用于结构确定,对接和改进.

主要成果:

在局部对接场景中,Rosetta-MPDock成功预测了67%的中度灵活和60%的高度灵活TM蛋白目标的正确接口.

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这些成功率代表了对现有的膜蛋白对接方法的显著改进.

将AlphaFold2-multimer与Rosetta-MPDock相结合,将基准目标的整体成功率从64%提高到73%.

结论:

罗塞塔-MPDock增强了对膜蛋白复杂结构的预测,从而解释了结构灵活性.
与AlphaFold2-multimer的集成进一步提高了预测准确度.
这种计算方法有助于研究关键的生物学问题和膜蛋白的功能机制.