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vCOMBAT: a novel tool to create and visualize a computational model of bacterial antibiotic target-binding

dc.contributor.authorTran, Vi Ngoc-Nha
dc.contributor.authorShams, Alireza
dc.contributor.authorAscioglu, Sinan
dc.contributor.authorMartinecz, Antal
dc.contributor.authorLiang, Jingyi
dc.contributor.authorClarelli, Fabrizio
dc.contributor.authorMostowy, Rafal
dc.contributor.authorCohen, Ted
dc.contributor.authorAbel zur Wiesch, Pia
dc.date.accessioned2022-05-12T06:28:26Z
dc.date.available2022-05-12T06:28:26Z
dc.date.created2020-10-01T12:51:59Z
dc.date.issued2022
dc.identifier.citationBMC Bioinformatics. 2022, 23 (1), 1-15.
dc.identifier.issn1471-2105
dc.identifier.urihttps://hdl.handle.net/11250/2995338
dc.language.isoeng
dc.titlevCOMBAT: a novel tool to create and visualize a computational model of bacterial antibiotic target-binding
dc.title.alternativevCOMBAT: a novel tool to create and visualize a computational model of bacterial antibiotic target-binding
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber1-15
dc.source.volume23
dc.source.journalBMC Bioinformatics
dc.source.issue1
dc.identifier.doi10.1186/s12859-021-04536-3
dc.identifier.cristin1836155
dc.relation.projectNorges forskningsråd: 262686
dc.relation.projectBill & Melinda Gates Foundation: OPP1111658
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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