Integrative modeling of membrane-associated protein assemblies

被引:27
|
作者
Roel-Touris, Jorge [1 ]
Jimenez-Garcia, Brian [1 ]
Bonvin, Alexandre M. J. J. [1 ]
机构
[1] Univ Utrecht, Fac Sci Chem, Bijvoet Ctr Biomol Res, Utrecht, Netherlands
基金
欧盟地平线“2020”;
关键词
STRUCTURE PREDICTION; DOCKING; POTENTIALS; EXTENSION; BENCHMARK; COMPLEX; FORCE;
D O I
10.1038/s41467-020-20076-5
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Membrane proteins are among the most challenging systems to study with experimental structural biology techniques. The increased number of deposited structures of membrane proteins has opened the route to modeling their complexes by methods such as docking. Here, we present an integrative computational protocol for the modeling of membrane-associated protein assemblies. The information encoded by the membrane is represented by artificial beads, which allow targeting of the docking toward the binding-competent regions. It combines efficient, artificial intelligence-based rigid-body docking by LightDock with a flexible final refinement with HADDOCK to remove potential clashes at the interface. We demonstrate the performance of this protocol on eighteen membrane-associated complexes, whose interface lies between the membrane and either the cytosolic or periplasmic regions. In addition, we provide a comparison to another state-of-the-art docking software, ZDOCK. This protocol should shed light on the still dark fraction of the interactome consisting of membrane proteins. Most approaches for modeling the membrane protein complexes are not capable of incorporating the topological information provided by the membrane. Here authors present an integrative computational protocol for the modeling of membrane-associated protein assemblies, specifically complexes consisting of a membrane-embedded protein and a soluble partner.
引用
收藏
页数:11
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