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dc.contributor.authorYamurai Bishi, Lorraineen
dc.contributor.authorChaitanya Vedithi, Sundeepen
dc.contributor.authorL. Blundell, Tomen
dc.contributor.authorChitima Mugumbate, Graceen
dc.date.accessioned2019-01-18T00:32:02Z
dc.date.available2019-01-18T00:32:02Z
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/288199
dc.description.abstractTuberculosis (TB) continues to be a major health hazard worldwide due to the resurgence of drug discovery strains of Mycobacterium tuberculosis (Mtb) and co-infection. For decades drug discovery has concentrated on identifying ligands for ~10 Mtb targets, hence most of the identified essential proteins are not utilised in TB chemotherapy. Here computational techniques were used to identify ligands for the orphan Mtb proteins. These range from ligand-based and structure-based virtual screening modelling the proteome of the bacterium. Identification of ligands for most of the Mtb Proteins will provide novel TB drugs and targets and hence address drug resistance, toxicity and the duration of TB treatment
dc.description.sponsorshipGates Foundation, Cystic Fibrosis Trust and American Leprosy Missions
dc.titleComputational Deorphaning of Mycobacterium tuberculosis Targetsen
dc.typeArticle
dc.identifier.doi10.17863/CAM.35515
dcterms.dateAccepted2018-11-05en
rioxxterms.versionofrecord10.5772/intechopen.82374en
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2018-11-05en
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idCystic Fibrosis Trust (SRC 010)
pubs.funder-project-idBill & Melinda Gates Foundation (via Foundation for the National Institutes of Health (FNIH)) (BLUN17STB)
pubs.funder-project-idAmerican Leprosy Missions (unknown)
cam.issuedOnline2020-03-11en
cam.orpheus.successThu Jan 30 10:53:31 GMT 2020 - The item has an open VoR version.*
rioxxterms.freetoread.startdate2100-01-01


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