{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T10:03:08Z","timestamp":1771063388966,"version":"3.50.1"},"reference-count":11,"publisher":"Oxford University Press (OUP)","issue":"24","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2007,12,15]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Summary: 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.<\/jats:p><jats:p>Availability: meta-PPISP can be accessed at http:\/\/pipe.scs.fsu.edu\/meta-ppisp.html<\/jats:p><jats:p>Contact: \u00a0zhou@sb.fsu.edu<\/jats:p><jats:p>Supplementary information: Data sets, linear regression coefficients, and details of prediction results are shown at the site of the meta-PPISP server.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btm434","type":"journal-article","created":{"date-parts":[[2007,9,26]],"date-time":"2007-09-26T02:14:39Z","timestamp":1190772879000},"page":"3386-3387","source":"Crossref","is-referenced-by-count":158,"title":["meta-PPISP: a meta web server for protein-protein interaction site prediction"],"prefix":"10.1093","volume":"23","author":[{"given":"Sanbo","family":"Qin","sequence":"first","affiliation":[{"name":"1 Institute of Molecular Biophysics, 2School of Computational Science and 3Department of Physics, Florida State University, Tallahassee, Florida 32306, USA"},{"name":"1 Institute of Molecular Biophysics, 2School of Computational Science and 3Department of Physics, Florida State University, Tallahassee, Florida 32306, USA"}]},{"given":"Huan-Xiang","family":"Zhou","sequence":"additional","affiliation":[{"name":"1 Institute of Molecular Biophysics, 2School of Computational Science and 3Department of Physics, Florida State University, Tallahassee, Florida 32306, USA"}]}],"member":"286","published-online":{"date-parts":[[2007,9,25]]},"reference":[{"key":"2023041107444311100_","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1002\/prot.20514","article-title":"Prediction of interface residues in protein-protein complexes by a consensus neural network method: Test against NMR data","volume":"61","author":"Chen","year":"2005","journal-title":"Proteins"},{"key":"2023041107444311100_","doi-asserted-by":"crossref","first-page":"3193","DOI":"10.1093\/nar\/gki633","article-title":"Prediction of solvent accessibility and sites of deleterious mutations from protein sequence","volume":"33","author":"Chen","year":"2005","journal-title":"Nucleic Acids Res"},{"key":"2023041107444311100_","doi-asserted-by":"crossref","first-page":"1356","DOI":"10.1046\/j.1432-1033.2002.02767.x","article-title":"Prediction of protein-protein interaction sites in heterocomplexes with neural networks","volume":"269","author":"Fariselli","year":"2002","journal-title":"Eur. 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