dc.contributor.advisor | Muraleedharan, K. | |
dc.contributor.author | Shameera Ahamed T. K. | |
dc.contributor.other | University of Calicut. Department of Chemistry. | en_US |
dc.date.accessioned | 2021-11-08T07:12:12Z | |
dc.date.available | 2021-11-08T07:12:12Z | |
dc.date.issued | 2020-07 | |
dc.identifier.citation | Shameera 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.uri | https://hdl.handle.net/20.500.12818/143 | |
dc.description | Thesis (Ph. D.)--University of Calicut, Dept. of Chemistry, 2020. | en_US |
dc.description | This electronic version was submitted by the student author. The certified thesis is available in the university library. | en_US |
dc.description | Includes bibliographical references. | en_US |
dc.description | Cataloged from PDF version of thesis. | en_US |
dc.description.statementofresponsibility | by Shameera Ahamed T. K. | en_US |
dc.description.tableofcontents | 1. 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.extent | 317 pages | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of Calicut | en_US |
dc.subject | Chemistry | en_US |
dc.subject | Computer Applications in Chemistry | en_US |
dc.subject | QSAR (Biochemistry) | en_US |
dc.subject | Drug development | en_US |
dc.title | Integrating Chemical Space Analysis and QSAR Modeling with Virtual Screening Towards the Identification of Novel 5-LOX Inhibitors. | en_US |
dc.type | Thesis | en_US |
dc.description.degree | Ph. D. | en_US |