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GalaxyTongDock: Symmetric and asymmetric ab initio protein-protein docking web server with improved energy parameters.
Park, Taeyong; Baek, Minkyung; Lee, Hasup; Seok, Chaok.
Affiliation
  • Park T; Department of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
  • Baek M; Department of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
  • Lee H; Department of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
  • Seok C; Department of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
J Comput Chem ; 40(27): 2413-2417, 2019 10 15.
Article in En | MEDLINE | ID: mdl-31173387
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. © 2019 Wiley Periodicals, Inc.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quantum Theory / Software / Proteins / Molecular Docking Simulation Type of study: Prognostic_studies Language: En Journal: J Comput Chem Journal subject: QUIMICA Year: 2019 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quantum Theory / Software / Proteins / Molecular Docking Simulation Type of study: Prognostic_studies Language: En Journal: J Comput Chem Journal subject: QUIMICA Year: 2019 Document type: Article
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