{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T05:49:10Z","timestamp":1771739350911,"version":"3.50.1"},"reference-count":11,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2016,12,23]],"date-time":"2016-12-23T00:00:00Z","timestamp":1482451200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/about_us\/legal\/notices"}],"funder":[{"name":"Department of Science and Technology, India and Indian Council of Medical Research","award":["RA\/389\/06-2016"],"award-info":[{"award-number":["RA\/389\/06-2016"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,3,15]]},"abstract":"Abstract<\/jats:title>\n \n Summary<\/jats:title>\n PBIT (Pipeline Builder for Identification of drug Targets) is an online webserver that has been developed for screening of microbial proteomes for critical features of human drug targets such as being non-homologous to human proteome as well as the human gut microbiota, essential for the pathogen\u2019s survival, participation in pathogen-specific pathways etc. The tool has been validated by analyzing 57 putative targets of Candida albicans documented in literature. PBIT integrates various in silico approaches known for drug target identification and will facilitate high-throughput prediction of drug targets for infectious diseases, including multi-pathogenic infections.<\/jats:p>\n <\/jats:sec>\n \n Availability and Implementation<\/jats:title>\n PBIT is freely accessible at http:\/\/www.pbit.bicnirrh.res.in\/.<\/jats:p>\n <\/jats:sec>\n \n Supplementary information<\/jats:title>\n Supplementary data are available at Bioinformatics online.<\/jats:p>\n <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btw760","type":"journal-article","created":{"date-parts":[[2016,11,25]],"date-time":"2016-11-25T12:05:45Z","timestamp":1480075545000},"page":"929-931","source":"Crossref","is-referenced-by-count":31,"title":["PBIT: Pipeline Builder for Identification of drug Targets for infectious diseases"],"prefix":"10.1093","volume":"33","author":[{"given":"Gauri","family":"Shende","sequence":"first","affiliation":[{"name":"ICMR Biomedical Informatics Center, National Institute for Research in Reproductive Health, Mumbai, India"}]},{"given":"Harshala","family":"Haldankar","sequence":"additional","affiliation":[{"name":"ICMR Biomedical Informatics Center, National Institute for Research in Reproductive Health, Mumbai, India"}]},{"given":"Ram Shankar","family":"Barai","sequence":"additional","affiliation":[{"name":"ICMR Biomedical Informatics Center, National Institute for Research in Reproductive Health, Mumbai, India"}]},{"given":"Mohammed Husain","family":"Bharmal","sequence":"additional","affiliation":[{"name":"ICMR Biomedical Informatics Center, National Institute for Research in Reproductive Health, Mumbai, India"}]},{"given":"Vinit","family":"Shetty","sequence":"additional","affiliation":[{"name":"ICMR Biomedical Informatics Center, National Institute for Research in Reproductive Health, Mumbai, India"}]},{"given":"Susan","family":"Idicula-Thomas","sequence":"additional","affiliation":[{"name":"ICMR Biomedical Informatics Center, National Institute for Research in Reproductive Health, Mumbai, India"}]}],"member":"286","published-online":{"date-parts":[[2016,12,23]]},"reference":[{"key":"2023020204515889700_btw760-B13","doi-asserted-by":"crossref","DOI":"10.1093\/database\/baw103","article-title":"HPIDB 2.0: a curated database for host-pathogen interactions","author":"Ammari","year":"2016","journal-title":"Database (Oxford)"},{"key":"2023020204515889700_btw760-B1","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1016\/j.compbiolchem.2005.07.001","article-title":"Potential drug targets in Mycobacterium tuberculosis through metabolic pathway analysis","volume":"29","author":"Anishetty","year":"2005","journal-title":"Comput. 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