{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T16:30:21Z","timestamp":1790613021328,"version":"4.1.0"},"reference-count":45,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,4,22]],"date-time":"2019-04-22T00:00:00Z","timestamp":1555891200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR\u201017\u2010ERC2\u20100003\u201001"],"award-info":[{"award-number":["ANR\u201017\u2010ERC2\u20100003\u201001"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004853","name":"Chinese University of Hong Kong","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004853","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Chem Biol Drug Des"],"published-print":{"date-parts":[[2019,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Molecular target prediction can provide a starting point to understand the efficacy and side effects of phenotypic screening hits. Unfortunately, the vast majority of in silico target prediction methods are not available as web tools. Furthermore, these are limited in the number of targets that can be predicted, do not estimate which target predictions are more reliable and\/or lack comprehensive retrospective validations. We present MolTarPred ( <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/moltarpred.marseille.inserm.fr\/\">http:\/\/moltarpred.marseille.inserm.fr\/<\/jats:ext-link>), a user\u2010friendly web tool for predicting protein targets of small organic compounds. It is powered by a large knowledge base comprising 607,659 compounds and 4,553 macromolecular targets collected from the Ch<jats:styled-content style=\"fixed-case\">EMBL<\/jats:styled-content> database. In about 1\u00a0min, the predicted targets for the supplied molecule will be listed in a table. The chemical structures of the query molecule and the most similar compounds annotated with the predicted target will also be shown to permit visual inspection and comparison. Practical examples of the use of MolTarPred are showcased. MolTarPred is a new resource for scientists that require a more complete knowledge of the polypharmacology of a molecule. The introduction of a reliability score constitutes an attractive functionality of MolTarPred, as it permits focusing experimental confirmatory tests on the most reliable predictions, which leads to higher prospective hit rates.<\/jats:p>","DOI":"10.1111\/cbdd.13516","type":"journal-article","created":{"date-parts":[[2019,3,27]],"date-time":"2019-03-27T20:39:22Z","timestamp":1553719162000},"page":"1390-1401","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["MolTarPred: A web tool for comprehensive target prediction with reliability estimation"],"prefix":"10.1111","volume":"94","author":[{"given":"Antonio","family":"Pe\u00f3n","sequence":"first","affiliation":[{"name":"Centre de Recherche en Canc\u00e9rologie de Marseille (CRCM) U1068 Inserm Marseille France"},{"name":"UMR7258 CNRS Marseille France"},{"name":"Institut Paoli\u2010Calmettes Marseille France"},{"name":"UM 105 Aix\u2010Marseille University Marseille France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongjian","family":"Li","sequence":"additional","affiliation":[{"name":"SDIVF R&amp;D Centre Hong Kong Science Park Sha Tin New Territories Hong Kong"},{"name":"CUHK\u2010SDU Joint Laboratory on Reproductive Genetics School of Biomedical Sciences The Chinese University of Hong Kong Sha Tin New Territories Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ghita","family":"Ghislat","sequence":"additional","affiliation":[{"name":"U1104 CNRS UMR7280 Centre d'Immunologie de Marseille\u2010Luminy Inserm Marseille France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kwong\u2010Sak","family":"Leung","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering The Chinese University of Hong Kong Sha Tin New Territories Hong 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