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dc.contributor.advisorMuraleedharan, K.
dc.contributor.authorShameera Ahamed T. K.
dc.contributor.otherUniversity of Calicut. Department of Chemistry.en_US
dc.date.accessioned2021-11-08T07:12:12Z
dc.date.available2021-11-08T07:12:12Z
dc.date.issued2020-07
dc.identifier.citationShameera Ahamed T. K. “Integrating Chemical Space Analysis and QSAR Modeling with Virtual Screening Towards the Identification of Novel 5-LOX Inhibitors.” Thesis. Department of Chemistry, University of Calicut, 2020.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12818/143
dc.descriptionThesis (Ph. D.)--University of Calicut, Dept. of Chemistry, 2020.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the university library.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.description.statementofresponsibilityby Shameera Ahamed T. K.en_US
dc.description.tableofcontents1. Introduction : Chemical space and Libraries -- 2. Theoretical and methodological overview : Molecular Representation -- 3. Protein structure evaluation and modeling -- 4. Chemical space characterization and sar analysis -- 5. Modeling comfa based 3d-qsar -- 6. Modeling machine learning based qsar -- 7. Docking-based virtual screening of small molecule inhibitors -- 8. Conclusion and future outlook.en_US
dc.format.extent317 pagesen_US
dc.language.isoenen_US
dc.publisherUniversity of Calicuten_US
dc.subjectChemistryen_US
dc.subjectComputer Applications in Chemistryen_US
dc.subjectQSAR (Biochemistry)en_US
dc.subjectDrug developmenten_US
dc.titleIntegrating Chemical Space Analysis and QSAR Modeling with Virtual Screening Towards the Identification of Novel 5-LOX Inhibitors.en_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US


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