Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/591044
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dc.coverage.spatialComputational Chemistry
dc.date.accessioned2024-09-24T06:14:09Z-
dc.date.available2024-09-24T06:14:09Z-
dc.identifier.urihttp://hdl.handle.net/10603/591044-
dc.description.abstractThe present thesis is focused on ligand design and understanding the structural basis for the mechanistic action of various enzymes and receptors using computational methods. A popular anti-viral drug, favipiravir, has been authorised for treating SARS-CoV-2 in several countries, as it shows several benefits in terms of reducing damage and shortening treatment time. A recent breakthrough revealed that the mechanism of action of favipiravir involves the induction of C-to-U point mutations in RNA, instead of chain termination. However, the literature lacks information on the structural basis for the induction of these mutations. In this context, a part of this thesis employs molecular dynamics (MD) simulations to analyse the impact of favipiravir present in the template and primer strands of RNA on the replication by RNA-dependent RNA Polymerase (RdRp), the enzyme that replicates the viral RNA of SARS-CoV-2. Subsequently, quantum mechanical (QM) methods, along with MD simulations are employed to understand the energetic feasibility of the prevalent mechanism of cyclodipeptide synthase (CDPS) enzymes that synthesize cyclodipeptides and to identify the catalytically important residues of CDPS required for this mechanism to occur. Further, the binding and inhibition of sigma-1 receptors by specific endogenous peptides are analysed, where molecular docking and MD simulations help examine the structural and dynamic characteristics of the sigma-1 receptor after peptide binding. Finally, to achieve better and more effective drugs for tuberculosis, pyrazinone derivatives are designed, and the structural as well as dynamical effects are analysed after their binding to enoyl acyl carrier protein reductase and ribosomal S1 protein targets, by employing molecular docking and MD simulations. Overall, the present thesis is expected to provide significant structural insights into the mechanism of action of specific receptors and the inhibitory role of designed ligands on various enzymes. newline
dc.format.extent198p.
dc.languageEnglish
dc.relation-
dc.rightsuniversity
dc.titleComputational studies on ligand design and mechanism of action in context of receptors and enzymes
dc.title.alternative
dc.creator.researcherAkshita
dc.subject.keywordEnzymes
dc.subject.keywordLigand Design
dc.subject.keywordMolecular Docking
dc.subject.keywordMolecular dynamic simulation
dc.subject.keywordReaction Modelling
dc.description.noteAnnexure 110-198p.
dc.contributor.guideSharma, Purshotam
dc.publisher.placeChandigarh
dc.publisher.universityPanjab University
dc.publisher.institutionDepartment of Chemistry
dc.date.registered2019
dc.date.completed2024
dc.date.awarded2025
dc.format.dimensions-
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Chemistry

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01_title.pdfAttached File99.63 kBAdobe PDFView/Open
02_prelim pages.pdf508.56 kBAdobe PDFView/Open
03_chapter1.pdf597.62 kBAdobe PDFView/Open
04_chapter2.pdf2.52 MBAdobe PDFView/Open
05_chapter3.pdf1.72 MBAdobe PDFView/Open
06_chapter4.pdf2.76 MBAdobe PDFView/Open
07_chapter5.pdf2.05 MBAdobe PDFView/Open
08_chapter6.pdf1.03 MBAdobe PDFView/Open
09_chapter7.pdf195.59 kBAdobe PDFView/Open
10_annexures.pdf10.33 MBAdobe PDFView/Open
80_recommendation.pdf522.93 kBAdobe PDFView/Open


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