{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T16:31:49Z","timestamp":1762101109864},"reference-count":26,"publisher":"Oxford University Press (OUP)","issue":"18","license":[{"start":{"date-parts":[[2016,10,2]],"date-time":"2016-10-02T00:00:00Z","timestamp":1475366400000},"content-version":"vor","delay-in-days":2220,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/2.0\/uk\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,9,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Animal toxins operate by binding to receptors and ion channels. These proteins are short and vary in sequence, structure and function. Sporadic discoveries have also revealed endogenous toxin-like proteins in non-venomous organisms. Viral proteins are the largest group of quickly evolving proteomes. We tested the hypothesis that toxin-like proteins exist in viruses and that they act to modulate functions of their hosts.<\/jats:p>\n               <jats:p>Results: We updated and improved a classifier for compact proteins resembling short animal toxins that is based on a machine-learning method. We applied it in a large-scale setting to identify toxin-like proteins among short viral proteins. Among the \u223c26 000 representatives of such short proteins, 510 sequences were positively identified. We focused on the 19 highest scoring proteins. Among them, we identified conotoxin-like proteins, growth factors receptor-like proteins and anti-bacterial peptides. Our predictor was shown to enhance annotation inference for many \u2018uncharacterized\u2019 proteins. We conclude that our protocol can expose toxin-like proteins in unexplored niches including metagenomics data and enhance the systematic discovery of novel cell modulators for drug development.<\/jats:p>\n               <jats:p>Availability: ClanTox is available at http:\/\/www.clantox.cs.huji.ac.il<\/jats:p>\n               <jats:p>Contact: \u00a0michall@cc.huji.ac.il<\/jats:p>","DOI":"10.1093\/bioinformatics\/btq375","type":"journal-article","created":{"date-parts":[[2010,9,7]],"date-time":"2010-09-07T17:41:46Z","timestamp":1283881306000},"page":"i482-i488","source":"Crossref","is-referenced-by-count":8,"title":["A predictor for toxin-like proteins exposes cell modulator candidates within viral genomes"],"prefix":"10.1093","volume":"26","author":[{"given":"Guy","family":"Naamati","sequence":"first","affiliation":[{"name":"1 School of Computer Science and Engineering, 2Department of Biological Chemistry, Sudarsky Center for Computational Biology, Hebrew University of Jerusalem, Israel and 3Blais Proteomics Center, Dana-Farber Cancer Institute, Boston, MA, USA"}]},{"given":"Manor","family":"Askenazi","sequence":"additional","affiliation":[{"name":"1 School of Computer Science and Engineering, 2Department of Biological Chemistry, Sudarsky Center for Computational Biology, Hebrew University of Jerusalem, Israel and 3Blais Proteomics Center, Dana-Farber Cancer Institute, Boston, MA, USA"},{"name":"1 School of Computer Science and Engineering, 2Department of Biological Chemistry, Sudarsky Center for Computational Biology, Hebrew University of Jerusalem, Israel and 3Blais Proteomics Center, Dana-Farber Cancer Institute, Boston, MA, USA"}]},{"given":"Michal","family":"Linial","sequence":"additional","affiliation":[{"name":"1 School of Computer Science and Engineering, 2Department of Biological Chemistry, Sudarsky Center for Computational Biology, Hebrew University of Jerusalem, Israel and 3Blais Proteomics Center, Dana-Farber Cancer Institute, Boston, MA, USA"}]}],"member":"286","published-online":{"date-parts":[[2010,9,4]]},"reference":[{"key":"2023012508275235600_B1","doi-asserted-by":"crossref","first-page":"785","DOI":"10.2174\/1389557033487746","article-title":"Drugs from the sea: conotoxins as drug leads for neuropathic pain and other neurological conditions","volume":"3","author":"Alonso","year":"2003","journal-title":"Mini Rev. 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