Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/8016
Title: Computational Studies and Design of Novel Molecules as Potential Glycogen Synthase Kinase Inhibitors
Authors: Chauhan, Navneet F.
Keywords: Ph.D. thesis
09EXTPHDP37
PTR00074
Pharmaceutical chemistry
Issue Date: May-2017
Publisher: Institute of Pharmacy, Nirma University, A'bad
Series/Report no.: PTR00074;
Abstract: The present thesis titled “Computational Studies and Design of Novel Molecules as Potential Glycogen Synthase Kinase Inhibitors” is divided into 7 chapters as described in brief. Chapter 1 describes the disease condition associated with the over expression of GSK-3β enzyme, its structure, various strategies implemented for designing selective GSK-3β inhibitors and clinical status of GSK-3β inhibitors. Chapter 2 outlines the aim and objectives of the present work. The aim of the work is to identify new chemical moieties as GSK-3β inhibitors by rational drug design based on in-silico fragment-based and docking approach as well as to identify novel inhibitors via virtual screening of chemical databases. Chapter 3 covers detailed literature review of various class of compounds available as GSK-3β inhibitors. They are further classified based on their mode of inhibition as non-ATP competitive, substrate competitive and ATP-competitive GSK-3β inhibitors. A review on patent literature is also covered. Chapter 4 describes prediction of binding sites and druggability assessment of GSK-3β by SiteMap software tool. The ligand-binding characteristics and druggability of each site of GSK-3β was assessed with SiteScore (SScore) and Druggability score (Dscore) respectively. Eight sites were identified on the surface of GSK-3β. The ATP-binding site (pocket 1) and allosteric site (pocket 7) were predicted as top scoring sites of GSK-3β. Application of combined in-silico fragment-based and molecular docking approach yielded the design of new chemical series of allosteric pocket 7 targeted N1,3-disubstituted imidazolidin-2-one derivatives. These hits displayed strong H-bond and pi-stacking interactions with Ser236 and His173 residues. Application of virtual screening methodology based on structural features of Tideglusib; identified new heterocyclic compounds via shape-based similarity screening using ROCS followed by molecular docking, electrostatic similarity search using EON and pharmacophore feature-based searching and molecular dynamics simulation approach. Three virtual hits AO-476/41610153, AT-057/43486355 and AK-080/40907857 (ZINC4192390) were identified from the SPECS and ZINC database. Chapter 5 describes synthesis and characterization of 21 designed compounds under a series of N1,3-disubstituted imidazolidin-2-one derivatives. The final synthesized compounds were purified by 100 - 200 mesh silica gel by column chromatography. Structural characterization was carried through FT-IR, Mass (ESI-MS), 1H NMR and 13C NMR analysis. LC-MS analysis of compound 2d was also performed for confirmation of synthesized compound. Chapter 6 describes in-vitro screening of 24 test compounds and Tideglusib on GSK-3β target using ADP-GloTM Kinase assay. Assay standardization was performed to find the optimal concentration of GSK-3β (7.5 ng), ATP (10 μM) and substrate (2 μM) for the entire study. The inhibitory effect of test compounds and Tideglusib was studied. Compounds 1i, 1n, 2d and AO-476/41610153 have very weak inhibition on GSK-3β compared to the standard drug Tideglusib. Out of the four identified hits, compounds 1i and AO-476/41610153 showed the highest GLIDE XP scores in the allosteric and substrate sites of GSK-3β respectively. Here, our docking computations are in perfect agreement with the in-vitro results. Chapter 7 describes the summary and future prospects, which can be further explored with this study.
URI: http://10.1.7.192:80/jspui/handle/123456789/8016
Appears in Collections:Ph.D. Research Reports

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