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231225s2019 xx |||||o 00| ||eng c |
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|a 10.1002/jcc.25874
|2 doi
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|a pubmed25n0992.xml
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|a (NLM)31173387
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|a DE-627
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Park, Taeyong
|e verfasserin
|4 aut
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| 245 |
1 |
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|a GalaxyTongDock
|b Symmetric and asymmetric ab initio protein-protein docking web server with improved energy parameters
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|c 2019
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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| 500 |
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|a Date Completed 11.08.2020
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|a Date Revised 11.08.2020
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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| 520 |
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|a © 2019 Wiley Periodicals, Inc.
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|a 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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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a GalaxyTongDock
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|a complex structure modeling
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|a complex structure prediction
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| 650 |
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|a protein-protein docking
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| 650 |
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|a web server
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| 650 |
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|a Proteins
|2 NLM
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| 700 |
1 |
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|a Baek, Minkyung
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Lee, Hasup
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Seok, Chaok
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 40(2019), 27 vom: 15. Okt., Seite 2413-2417
|w (DE-627)NLM098138448
|x 1096-987X
|7 nnns
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| 773 |
1 |
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|g volume:40
|g year:2019
|g number:27
|g day:15
|g month:10
|g pages:2413-2417
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| 856 |
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|u http://dx.doi.org/10.1002/jcc.25874
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