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

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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