In-Silico Approach For Designing Thiazolidinone Based Analogues For Anti-Inflammatory Activity
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This book mainly covers In-silico studies of thiazolidinone based analogues in order to identify prominent binding pockets for inhibiting Cyclooxygenase (COX), Lipoxygenase (LOX), and Tumor Necrosis Factor (TNF-¿) for anti-inflammatory activity. Random synthesis and random screening of these compounds for various biological activities is very tedious, costly and less productive work. Modern chemistry demands molecular modelling, and pre-synthesis biological activity predictions through docking and other techniques for effective, speedy and target based research. Focusing on this, in this book...
This book mainly covers In-silico studies of thiazolidinone based analogues in order to identify prominent binding pockets for inhibiting Cyclooxygenase (COX), Lipoxygenase (LOX), and Tumor Necrosis Factor (TNF-¿) for anti-inflammatory activity. Random synthesis and random screening of these compounds for various biological activities is very tedious, costly and less productive work. Modern chemistry demands molecular modelling, and pre-synthesis biological activity predictions through docking and other techniques for effective, speedy and target based research. Focusing on this, in this book interactions between thiazolidinone based analogues with these enzyme binding pockets, prediction of binding affinity, fragments responsible for the interaction with enzyme binding site, and their mode of interactions with the active sites have been highlighted. This book provides the prominent way to design new anti-inflammatory agents based on thiazolidinone moieties with better inhibition potency.
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