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Using residue propensities and tightness of fit to improve rigid-body protein-protein docking

Autor(en):
Huang, Bingding [DBLP] ;
Schroeder, Michael [DBLP]
Zusammenfassung
Protein-protein interactions are fundamental as many proteins mediate their biological function through protein interactions. Over the past 20 years there have been many computational approaches to dock proteins. These approaches are mostly based on the shape complementarity of structures and the physio-chemical properties of the interfaces. However, these docking approaches are far from perfect and there still remains potential space to improve. We propose to use family-based residue interaction propensity as well as the tightness of fit between residues with high propensities as a scoring function to improve rigid body docking. This approach is evaluated on an established benchmark data set. Our scoring function improves the number of hits for enzyme-inhibitor complexes by a factor of 4-30 in comparison with shape complementarity alone and for antibodyantigen complexes by 4-11. The supplementary data are available at http://www.biotec.tu-dresden. de/\~bhuang/bdock.
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Huang, B. & Schroeder, M., (2005). Using residue propensities and tightness of fit to improve rigid-body protein-protein docking. In: Torda, A., Kurtz, S. & Rarey, M. (Hrsg.), German Conference on Bioinformatics 2005 (GCB 2005). Bonn: Gesellschaft für Informatik e.V.. (S. 159-173).
@inproceedings{mci/Huang2005,
author = {Huang, Bingding AND Schroeder, Michael},
title = {Using residue propensities and tightness of fit to improve rigid-body protein-protein docking},
booktitle = {German Conference on Bioinformatics 2005 (GCB 2005)},
year = {2005},
editor = {Torda, Andrew AND Kurtz, Stefan AND Rarey, Matthias} ,
pages = { 159-173 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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Mehr Information

ISBN: 3-88579-400-4
ISSN: 1617-5468
Datum: 2005
Sprache: en (en)
Typ: Text/Conference Paper
Sammlungen
  • P071 - GCB 2005 - German Conference on Bioinformatics [22]

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Über uns | FAQ | Hilfe | Impressum | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.