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Structural quality of unrefined models in protein docking

Authors :
Ilya A. Vakser
Petras J. Kundrotas
Ivan Anishchenko
Source :
Proteins: Structure, Function, and Bioinformatics. 85:39-45
Publication Year :
2016
Publisher :
Wiley, 2016.

Abstract

Structural characterization of protein-protein interactions is essential for understanding life processes at the molecular level. However, only a fraction of protein interactions have experimentally resolved structures. Thus reliable computational methods for structural modeling of protein interactions (protein docking) are important for generating such structures and understanding the principles of protein recognition. Template-based docking techniques that utilize structural similarity between target protein-protein interaction and co-crystallized protein-protein complexes (templates) are gaining popularity due to generally higher reliability than that of the template-free docking. However, the template-based approach lacks explicit penalties for inter-molecular penetration, as opposed to the typical free docking where such penalty is inherent due to the shape complementarity paradigm. Thus, template-based docking models are commonly assumed to require special treatment to remove large structural penetrations. In this study, we compared clashes in the template-based and free docking of the same proteins, with crystallographically determined and modeled structures. The results show that for the less accurate protein models, free docking produces fewer clashes than the template-based approach. However, contrary to the common expectation, in acceptable and better quality docking models of unbound crystallographically determined proteins, the clashes in the template-based docking are comparable to those in the free docking, due to the overall higher quality of the template-based docking predictions. This suggests that the free docking refinement protocols can in principle be applied to the template-based docking predictions as well. This article is protected by copyright. All rights reserved.

Details

ISSN :
10970134 and 08873585
Volume :
85
Database :
OpenAIRE
Journal :
Proteins: Structure, Function, and Bioinformatics
Accession number :
edsair.doi.dedup.....ea41ed80d342c1e9d50085ec91672b18
Full Text :
https://doi.org/10.1002/prot.25188