Quantitative structure-activity relationship and machine learning studies of 2-thiazolylhydrazone derivatives with anti-Cryptococcus neoformans activity

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dc.contributor.author Kronenberger, Thales
dc.date.accessioned 2023-11-24T08:00:01Z
dc.date.available 2023-11-24T08:00:01Z
dc.date.issued 2022
dc.identifier.issn 0739-1102
dc.identifier.uri http://hdl.handle.net/10900/148038
dc.language.iso en en
dc.publisher Philadelphia : Taylor & Francis Inc de_DE
dc.relation.uri http://dx.doi.org/10.1080/07391102.2021.1935321
dc.subject.ddc 570 de_DE
dc.subject.ddc 530 de_DE
dc.title Quantitative structure-activity relationship and machine learning studies of 2-thiazolylhydrazone derivatives with anti-Cryptococcus neoformans activity de_DE
dc.type Article de_DE
utue.quellen.id 20230925000000_06320
utue.publikation.seiten 9789-9800 de_DE
utue.personen.roh Fernandes, Philipe de Oliveira
utue.personen.roh Martins, Joao Paulo A.
utue.personen.roh de Melo, Eduardo B.
utue.personen.roh de Oliveira, Renata Barbosa
utue.personen.roh Kronenberger, Thales
utue.personen.roh Maltarollo, Vinicius Goncalves
dcterms.isPartOf.ZSTitelID Journal of Biomolecular Structure & Dynamics de_DE
dcterms.isPartOf.ZS-Issue 20 de_DE
dcterms.isPartOf.ZS-Volume 40 de_DE
utue.fakultaet 04 Medizinische Fakultät


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