| Literature DB >> 31173387 |
Taeyong Park1, Minkyung Baek1, Hasup Lee1, Chaok Seok1.
Abstract
Protein-protein docking methods are spotlighted for their roles in providing insights into protein-protein interactions in the absence of full structural information by experiment. GalaxyTongDock is an ab initio protein-protein docking web server that performs rigid-body docking just like ZDOCK but with improved energy parameters. The energy parameters were trained by iterative docking and parameter search so that more native-like structures are selected as top rankers. GalaxyTongDock performs asymmetric docking of two different proteins (GalaxyTongDock_A) and symmetric docking of homo-oligomeric proteins with Cn and Dn symmetries (GalaxyTongDock_C and GalaxyTongDock_D). Performance tests on an unbound docking benchmark set for asymmetric docking and a model docking benchmark set for symmetric docking showed that GalaxyTongDock is better or comparable to other state-of-the-art methods. Experimental and/or evolutionary information on binding interfaces can be easily incorporated by using block and interface options. GalaxyTongDock web server is freely available at http://galaxy.seoklab.org/tongdock.Entities:
Keywords: GalaxyTongDock; complex structure modeling; complex structure prediction; protein-protein docking; web server
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Year: 2019 PMID: 31173387 DOI: 10.1002/jcc.25874
Source DB: PubMed Journal: J Comput Chem ISSN: 0192-8651 Impact factor: 3.376