Browsing by Author "Devi, Bharti"
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Item Synthesis and Evaluation of Antimicrobial Activity of N-Substituted Indole Derivatives and Molecular Docking Studies(Bentham Science Publishers, 2022-11-18T00:00:00) Dwivedi, Ashish Ranjan; Kumar, Vijay; Neha; Jangid, Kailash; Devi, Bharti; Kulharia, Mahesh; Kumar, Rakesh; Kumar, VinodThe increasing burden of microbial infection and emerging resistance against the available antimicrobial drugs drives the development of new agents. Two different series of indole-based compounds (VN-1 to VN-18) were synthesized and analyzed for antimicrobial activity by calculating the diameter of the inhibition zone using the broth dilution method and well diffusion method against Escherichia coli (E. coli) and environmental microbes. Most of the compounds displayed good to moderate activity against E. coli, and VN-4 and VN-9 displayed good inhibitory activity against the tested microbes. Molecular docking and binding energy calculation studies of all the synthesized compounds have been performed for targeting FabI, where most of the compounds showed significant interactions with the aromatic nicotin-amide moiety of NAD+. In molecular dynamics studies, VN-9 stays inside the binding cavity for sufficient time to induce antimicrobial activity. Thus, these indole-based derivatives may lead to the development of new antimicrobi-al agents that may act as FabI inhibitors. � 2022 Bentham Science Publishers.Item Virtual screening and molecular dynamics simulation approach for the identification of potential multi-target directed ligands for the treatment of Alzheimer�s disease(Taylor and Francis Ltd., 2023-04-28T00:00:00) Jangid, Kailash; Devi, Bharti; Sahoo, Ashrulochan; Kumar, Vijay; Dwivedi, Ashish Ranjan; Thareja, Suresh; Kumar, Rajnish; Kumar, VinodAlzheimer�s disease (AD) is a multifactorial neurological disorder characterized by memory loss and cognitive impairment. The currently available single-targeting drugs have miserably failed in the treatment of AD, and multi-target directed ligands (MTDLs) are being explored as an alternative treatment strategy. Cholinesterase and monoamine oxidase enzymes are reported to play a crucial role in the pathology of AD, and multipotent ligands targeting these two enzymes simultaneously are under various phases of design and development. Recent studies have revealed that computational approaches are robust and trusted tools for identifying novel therapeutics. The current research work is focused on the development of potential multi-target directed ligands that simultaneously inhibit acetylcholinesterase (AChE) and monoamine oxidase B (MAO-B) enzymes employing a structure-based virtual screening (SBVS) approach. The ASINEX database was screened after applying pan assay interference and drug-likeness filter to identify novel molecules using three docking precision criteria; High Throughput Virtual Screening (HTVS), Standard Precision (SP), and Extra Precision (XP). Additionally, binding free energy calculations, ADME, and molecular dynamic simulations were employed to get structural insights into the mechanism of protein-ligand binding and pharmacokinetic properties. Three lead molecules viz. AOP19078710, BAS00314308 and BDD26909696 were successfully identified with binding scores of ?10.565, ?10.543 & ?8.066 kcal/mol against AChE and ?11.019, ?12.357 & ?10.068 kcal/mol against MAO-B, better score as compared to the standard inhibitors. In the near future, these molecules will be synthesized and evaluated through in�vitro and in�vivo assays for their inhibition potential against AChE and MAO-B enzymes. � 2023 Informa UK Limited, trading as Taylor & Francis Group.