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Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/9488
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DC FieldValueLanguage
dc.contributor.advisorGayen, Shovanlal-
dc.contributor.authorBhagat, Rinki Prasad-
dc.date.accessioned2026-02-16T09:55:13Z-
dc.date.available2026-02-16T09:55:13Z-
dc.date.issued2024-
dc.date.submitted2024-
dc.identifier.otherDC5256-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/9488-
dc.format.extent113p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectMolecular Fingerprintsen_US
dc.subjectClassification-Based Binary-QSAR Modelen_US
dc.subjectHistone Deacetylase 11en_US
dc.subjectDysregulationen_US
dc.titleDevelopment and evaluation of a classification-based binary-qsar model for identifying key molecular fingerprints in histone deacetylase 11 (hdac11) inhibitionen_US
dc.typeTexten_US
dc.departmentPharmaceutical Technologyen_US
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