HQSAR and random forest-based QSAR models for anti-T. vaginalis activities of nitroimidazoles derivatives

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dc.contributor.author Kronenberger, Thales
dc.date.accessioned 2020-03-17T16:21:52Z
dc.date.available 2020-03-17T16:21:52Z
dc.date.issued 2019
dc.identifier.issn 1873-4243
dc.identifier.uri http://hdl.handle.net/10900/99145
dc.language.iso en en
dc.publisher Elsevier Science Inc de_DE
dc.relation.uri http://dx.doi.org/10.1016/j.jmgm.2019.04.007
dc.subject.ddc 570 de_DE
dc.subject.ddc 004 de_DE
dc.subject.ddc 540 de_DE
dc.subject.ddc 610 de_DE
dc.subject.ddc 600 de_DE
dc.title HQSAR and random forest-based QSAR models for anti-T. vaginalis activities of nitroimidazoles derivatives de_DE
dc.type Artikel de_DE
utue.quellen.id 20190926111821_00851
utue.publikation.seiten 180-191 de_DE
utue.personen.roh Verissimo, Gabriel Correa
utue.personen.roh Menezes Dutra, Evaldo Francisco
utue.personen.roh Teotonio Dias, Anna Leticia
utue.personen.roh Fernandes, Philipe de Oliveira
utue.personen.roh Kronenberger, Thales
utue.personen.roh Gomes, Maria Aparecida
utue.personen.roh Maltarollo, Vinicius Goncalves
dcterms.isPartOf.ZSTitelID Journal of Molecular Graphics & Modelling de_DE
dcterms.isPartOf.ZS-Volume 90 de_DE
utue.fakultaet 04 Medizinische Fakultät


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