Title
GalaxyTongDock: Symmetric and asymmetric ab initio protein-protein docking web server with improved energy parameters.
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 C-n and D-n 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 . (c) 2019 Wiley Periodicals, Inc.
Year
DOI
Venue
2019
10.1002/jcc.25874
JOURNAL OF COMPUTATIONAL CHEMISTRY
Keywords
Field
DocType
protein-protein docking,GalaxyTongDock,complex structure modeling,complex structure prediction,web server
Docking (dog),Computational chemistry,Chemistry,Protein protein,Ab initio,Web server
Journal
Volume
Issue
ISSN
40.0
27
0192-8651
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Taeyong Park121.05
Minkyung Baek221.38
Hasup Lee342.19
Chaok Seok416315.89