A coarse-grained model for disordered and multi-domain proteins

被引:22
作者
Cao, Fan [1 ]
von Buelow, Soeren [1 ]
Tesei, Giulio [1 ]
Lindorff-Larsen, Kresten [1 ,2 ]
机构
[1] Univ Copenhagen, Dept Biol, Struct Biol & NMR Lab, Copenhagen, Denmark
[2] Univ Copenhagen, Linderstrom Lang Ctr Prot Sci, Dept Biol, Copenhagen, Denmark
关键词
coarse graining; condensates; molecular dynamics; multi-domain proteins; protein dynamics; LIQUID PHASE-SEPARATION; MARTINI; 3; FORCE-FIELD; SIMULATION; DOMAINS; TRANSITION; DYNAMICS; RNA;
D O I
10.1002/pro.5172
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Many proteins contain more than one folded domain, and such modular multi-domain proteins help expand the functional repertoire of proteins. Because of their larger size and often substantial dynamics, it may be difficult to characterize the conformational ensembles of multi-domain proteins by simulations. Here, we present a coarse-grained model for multi-domain proteins that is both fast and provides an accurate description of the global conformational properties in solution. We show that the accuracy of a one-bead-per-residue coarse-grained model depends on how the interaction sites in the folded domains are represented. Specifically, we find excessive domain-domain interactions if the interaction sites are located at the position of the C alpha atoms. We also show that if the interaction sites are located at the center of mass of the residue, we obtain good agreement between simulations and experiments across a wide range of proteins. We then optimize our previously described CALVADOS model using this center-of-mass representation, and validate the resulting model using independent data. Finally, we use our revised model to simulate phase separation of both disordered and multi-domain proteins, and to examine how the stability of folded domains may differ between the dilute and dense phases. Our results provide a starting point for understanding interactions between folded and disordered regions in proteins, and how these regions affect the propensity of proteins to self-associate and undergo phase separation.
引用
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页数:14
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