UMass Chan Affiliations
Program in Bioinformatics and Integrative BiologyDocument Type
Journal ArticlePublication Date
2017-03-01Keywords
ZRANKcomplex
docking
protein-protein interaction
structure
Biochemistry, Biophysics, and Structural Biology
Bioinformatics
Computational Biology
Integrative Biology
Systems Biology
Metadata
Show full item recordAbstract
We report the performance of our protein-protein docking pipeline, including the ZDOCK rigid-body docking algorithm, on 19 targets in CAPRI rounds 28-34. Following the docking step, we reranked the ZDOCK predictions using the IRAD scoring function, pruned redundant predictions, performed energy landscape analysis, and utilized our interface prediction approach RCF. In addition, we applied constraints to the search space based on biological information that we culled from the literature, which increased the chance of making a correct prediction. For all but two targets we were able to find and apply biological information and we found the information to be highly accurate, indicating that effective incorporation of biological information is an important component for protein-protein docking.Source
Proteins. 2017 Mar;85(3):408-416. doi: 10.1002/prot.25186. Epub 2016 Oct 24. Link to article on publisher's site
DOI
10.1002/prot.25186Permanent Link to this Item
http://hdl.handle.net/20.500.14038/25826PubMed ID
27718275Related Resources
ae974a485f413a2113503eed53cd6c53
10.1002/prot.25186