Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan, USA.
Proteins. 2018 Jul;86(7):738-750. doi: 10.1002/prot.25508. Epub 2018 May 6.
A refinement protocol based on physics-based techniques established for water soluble proteins is tested for membrane protein structures. Initial structures were generated by homology modeling and sampled via molecular dynamics simulations in explicit lipid bilayer and aqueous solvent systems. Snapshots from the simulations were selected based on scoring with either knowledge-based or implicit membrane-based scoring functions and averaged to obtain refined models. The protocol resulted in consistent and significant refinement of the membrane protein structures similar to the performance of refinement methods for soluble proteins. Refinement success was similar between sampling in the presence of lipid bilayers and aqueous solvent but the presence of lipid bilayers may benefit the improvement of lipid-facing residues. Scoring with knowledge-based functions (DFIRE and RWplus) was found to be as good as scoring using implicit membrane-based scoring functions suggesting that differences in internal packing is more important than orientations relative to the membrane during the refinement of membrane protein homology models.
针对水溶性蛋白质建立的基于物理技术的细化方案被用于膜蛋白结构。初始结构通过同源建模生成,并在含有明确脂质双层和水相溶剂的系统中通过分子动力学模拟进行采样。基于知识或隐式基于膜的评分函数对模拟中的快照进行选择,并对其进行平均以获得细化模型。该方案导致膜蛋白结构的一致且显著细化,类似于可溶性蛋白质细化方法的性能。在存在脂质双层和水相溶剂的情况下进行采样的效果相似,但脂质双层的存在可能有利于改善面向脂质的残基。事实证明,基于知识的函数(DFIRE 和 RWplus)的评分与使用隐式基于膜的评分函数的评分一样好,这表明在膜蛋白同源模型的细化过程中,内部堆积的差异比相对于膜的取向更为重要。