{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T10:21:54Z","timestamp":1790158914334,"version":"4.1.0"},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"18","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003,12,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Summary: SPEPlip is a neural network-based method, trained and tested on a set of experimentally derived signal peptides from eukaryotes and prokaryotes. SPEPlip identifies the presence of sorting signals and predicts their cleavage sites. The accuracy in cross-validation is similar to that of other available programs: the rate of false positives is 4 and 6%, for prokaryotes and eukaryotes respectively and that of false negatives is 3% in both cases. When a set of 409 prokaryotic lipoproteins is predicted, SPEPlip predicts 97% of the chains in the signal peptide class. However, by integrating SPEPlip with a regular expression search utility based on the PROSITE pattern, we can successfully discriminate signal peptide-containing chains from lipoproteins. We propose the method for detecting and discriminating signal peptides containing chains and lipoproteins.<\/jats:p>\n                  <jats:p>Availability: It can be accessed through the web page at http:\/\/gpcr.biocomp.unibo.it\/predictors\/<\/jats:p>","DOI":"10.1093\/bioinformatics\/btg360","type":"journal-article","created":{"date-parts":[[2003,12,10]],"date-time":"2003-12-10T15:41:02Z","timestamp":1071070862000},"page":"2498-2499","source":"Crossref","is-referenced-by-count":58,"title":["SPEPlip: the detection of signal peptide and lipoprotein cleavage sites"],"prefix":"10.1093","volume":"19","author":[{"given":"Piero","family":"Fariselli","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giacomo","family":"Finocchiaro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rita","family":"Casadio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2003,12,12]]},"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/18\/2498\/48904672\/bioinformatics_19_18_2498.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/18\/2498\/48904672\/bioinformatics_19_18_2498.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T13:16:57Z","timestamp":1674652617000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/19\/18\/2498\/194648"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,12,12]]},"references-count":0,"journal-issue":{"issue":"18","published-print":{"date-parts":[[2003,12,12]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btg360","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2003,12,12]]},"published":{"date-parts":[[2003,12,12]]}}}