Journal
BIOINFORMATICS
Volume 23, Issue 24, Pages 3386-3387Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btm434
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Funding
- NIGMS NIH HHS [GM058187] Funding Source: Medline
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A number of complementary methods have been developed for predicting protein-protein interaction sites. We sought to increase prediction robustness and accuracy by combining results from different predictors, and report here a meta web server, meta-PPISP, that is built on three individual web servers: cons-PPISP (http://pipe.scs.fsu.edu/ppisp.html), Promate (http://bioportal. weizmann.ac.il/promate), and PINUP (http://sparks. informatics. iupui.edu/PINUP/). A linear regression method, using the raw scores of the three servers as input, was trained on a set of 35 nonhomologous proteins. Cross validation showed that meta-PPISP outperforms all the three individual servers. At coverages identical to those of the individual methods, the accuracy of meta-PPISP is higher by 4.8 to 18.2 percentage points. Similar improvements in accuracy are also seen on CAPRI and other targets.
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