{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T21:55:23Z","timestamp":1790891723862,"version":"4.1.0"},"reference-count":47,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2011,1,31]],"date-time":"2011-01-31T00:00:00Z","timestamp":1296432000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Biorange project SP 3.5.1 of the Netherlands Bioinformatics Center"},{"name":"Center for Medical Systems Biology"},{"name":"Netherlands Genome Initiative"},{"name":"Dutch Prinses Beatrix Fonds"}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Proteomics"],"published-print":{"date-parts":[[2011,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>We introduce a framework for predicting novel protein\u2013protein interactions (PPIs), based on Fisher's method for combining probabilities of predictions that are based on different data sources, such as the biomedical literature, protein domain and mRNA expression information. Our method compares favorably to our previous method based on text\u2010mining alone and other methods such as STRING. We evaluated our algorithms through the prediction of experimentally found protein interactions underlying Muscular Dystrophy, Huntington's Disease and Polycystic Kidney Disease, which had not yet been recorded in protein\u2013protein interaction databases. We found a 1.74\u2010fold increase in the mean average prediction precision for dysferlin and a 3.09\u2010fold for huntingtin when compared to STRING. The top 10 of predicted interaction partners of huntingtin were analysed in depth. Five were identified previously, and the other five were new potential interaction partners. The full matrix of human protein pairs and their prediction scores are available for download. Our framework can be extended to predict other types of relationships such as proteins in a complex, pathway or related disease mechanisms.<\/jats:p>","DOI":"10.1002\/pmic.201000398","type":"journal-article","created":{"date-parts":[[2011,1,7]],"date-time":"2011-01-07T06:30:36Z","timestamp":1294381836000},"page":"843-853","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["In silico discovery and experimental validation of new protein\u2013protein interactions"],"prefix":"10.1002","volume":"11","author":[{"given":"Herman H. H. B. M.","family":"van Haagen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter A. 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