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Showing 10 out of a total of 11 results for community: BITS Faculty Publications. (0.016 seconds)

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Molecular Docking and Dynamics Identifies Potential Repurposed Drug Candidates for COVID-19 Studies

Murugesan, Sankaranarayanan (2023-01)
Pharmacophore based virtual screening, molecular docking, molecular dynamics and MM-GBSA approach for identification of prospective SARS-CoV-2 inhibitor from natural product databases

Murugesan, Sankaranarayanan (Taylor & Francis, 2020-09)
Identification of Papain-Like Protease inhibitors of SARS CoV-2 through HTVS, Molecular docking, MMGBSA and Molecular dynamics approach

Murugesan, Sankaranarayanan (Elsevier, 2022-12)
Design, synthesis and evaluation of novel β-carboline ester analogues as potential anti-leishmanial agents

Murugesan, Sankaranarayanan (Taylor & Francis, 2021-09)
In Silico Exploration of Bisphosphonate Scaffolds as Potential Inhibitors of SARS-CoV-2 RdRp for COVID-19 and PASC

Murugesan, Sankaranarayanan (2023-11)
Synthesis, molecular modelling, in vitro and in vivo evaluation of conophylline inspired novel benzyloxy substituted indole glyoxylamides as potent pancreatic lipase inhibitors

Paul, Atish Tulshiram (Taylor & Francis, 2021-05)
Molecular modelling, synthesis and in vitro evaluation of quinazolinone hybrid analogues as potential pancreatic lipase inhibitors

Paul, Atish Tulshiram (Taylor & Francis, 2022-11)
Identification of a new and diverse set of Mycobacterium tuberculosis uracil-DNA glycosylase (MtUng) inhibitors using structure-based virtual screening: Experimental validation and molecular dynamics studies

Sundriyal, Sandeep (Elsevier, 2022-11)
Identification of synthetically tractable MERS-CoV main protease inhibitors using structure-based virtual screening and molecular dynamics potential of mean force (PMF) calculations

Sundriyal, Sandeep (Taylor & Francis, 2023-11)
A structure-based pharmacophore modelling approach to identify and design new neprilysin (NEP) inhibitors: an in silico-based investigation

Gaikwad, Anil Bhanudas; Jadhav, Hemant R. (Elsevier, 2024-06)

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