{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T14:35:45Z","timestamp":1777559745095,"version":"3.51.4"},"reference-count":14,"publisher":"Oxford University Press (OUP)","issue":"20","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006,10,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: The computational prediction of protein\u2013protein interactions is currently a major issue in bioinformatics. Recently, a variety of co-evolution-based methods have been investigated toward this goal. In this study, we introduced a partial correlation coefficient as a new measure for the degree of co-evolution between proteins, and proposed its use to predict protein\u2013protein interactions.<\/jats:p>\n               <jats:p>Results: The accuracy of the prediction by the proposed method was compared with those of the original mirror tree method and the projection method previously developed by our group. We found that the partial correlation coefficient effectively reduces the number of false positives, as compared with other methods, although the number of false negatives increased in the prediction by the partial correlation coefficient.<\/jats:p>\n               <jats:p>Availability: The R script for the prediction of protein\u2013protein interactions reported in this manuscript is available at<\/jats:p>\n               <jats:p>Contact: \u00a0sato@kuicr.kyoto-u.ac.jp<\/jats:p>\n               <jats:p>Supplementary information: The information is also available at the same site as the R script.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btl419","type":"journal-article","created":{"date-parts":[[2006,8,2]],"date-time":"2006-08-02T18:47:44Z","timestamp":1154544464000},"page":"2488-2492","source":"Crossref","is-referenced-by-count":30,"title":["Partial correlation coefficient between distance matrices as a new indicator of protein\u2013protein interactions"],"prefix":"10.1093","volume":"22","author":[{"given":"Tetsuya","family":"Sato","sequence":"first","affiliation":[{"name":"Bioinformatics Center, Institute for Chemical Research, Kyoto University 1 \u00a0 1 \u00a0 \u00a0 Gokasho, Uji, Kyoto 611-0011, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoshihiro","family":"Yamanishi","sequence":"additional","affiliation":[{"name":"Bioinformatics Center, Institute for Chemical Research, Kyoto University 1 \u00a0 1 \u00a0 \u00a0 Gokasho, Uji, Kyoto 611-0011, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Katsuhisa","family":"Horimoto","sequence":"additional","affiliation":[{"name":"Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology 2 \u00a0 2 \u00a0 \u00a0 2-42 Aomi, Koto-ku, Tokyo, 135-0064, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minoru","family":"Kanehisa","sequence":"additional","affiliation":[{"name":"Bioinformatics Center, Institute for Chemical Research, Kyoto University 1 \u00a0 1 \u00a0 \u00a0 Gokasho, Uji, Kyoto 611-0011, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiroyuki","family":"Toh","sequence":"additional","affiliation":[{"name":"Division of Bioinformatics, Medical Institute of Bioregulation, Kyushu University 3 \u00a0 3 \u00a0 \u00a0 3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2006,7,31]]},"reference":[{"key":"2023012409234986000_b1","article-title":"PHYLIP (Phylogeny Inference Package) version 3.6. 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