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Computational selection of novel 4-thiazolidinone derivatives containing benzenesulfonohydrazide structure as inhibitors against mpro and rdrp of sars-cov-2 and their predicted admet profiles

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dc.contributor.authorKULABAŞ, NECLA
dc.contributor.authorsKulabaş N.
dc.date.accessioned2023-02-17T09:34:43Z
dc.date.accessioned2026-01-10T19:07:53Z
dc.date.available2023-02-17T09:34:43Z
dc.date.issued2021-03-28
dc.identifier.citationKulabaş N., \"Computational Selection of Novel 4-Thiazolidinone Derivatives Containing Benzenesulfonohydrazide Structure as Inhibitors against Mpro and RdRp Of SARS-Cov-2 and Their Predicted ADMET Profiles\", INTERNATIONAL CONGRESS ON BIOLOGICAL AND HEALTH SCIENCES, Afyonkarahisar, Türkiye, 26 - 28 Şubat 2021, ss.127
dc.identifier.urihttps://hdl.handle.net/11424/286521
dc.language.isoeng
dc.relation.ispartofINTERNATIONAL CONGRESS ON BIOLOGICAL AND HEALTH SCIENCES
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSağlık Bilimleri
dc.subjectHealth Sciences
dc.subjectKlinik Tıp (MED)
dc.subjectClinical Medicine (MED)
dc.titleComputational selection of novel 4-thiazolidinone derivatives containing benzenesulfonohydrazide structure as inhibitors against mpro and rdrp of sars-cov-2 and their predicted admet profiles
dc.typeconferenceObject
dspace.entity.typePublication

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