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Bioinformatics. 2007 Dec 15;23(24):3386-7. Epub 2007 Sep 25.

meta-PPISP: a meta web server for protein-protein interaction site prediction.

Author information

1
Institute of Molecular Biophysics, School of Computational Science, Florida State University, Tallahassee, Florida 32306, USA.

Abstract

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.

AVAILABILITY:

meta-PPISP can be accessed at http://pipe.scs.fsu.edu/meta-ppisp.html

PMID:
17895276
DOI:
10.1093/bioinformatics/btm434
[Indexed for MEDLINE]
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