Co-Authors
This is a "connection" page, showing publications co-authored by Sanjeev Singh and Umesh Panwar.
Connection Strength
0.908
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High-Throughput Screening and Quantum Mechanics for Identifying Potent Inhibitors Against Mac1 Domain of SARS-CoV-2 Nsp3. IEEE/ACM Trans Comput Biol Bioinform. 2021 Jul-Aug; 18(4):1262-1270.
Score: 0.240
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Microsecond MD Simulation and Multiple-Conformation Virtual Screening to Identify Potential Anti-COVID-19 Inhibitors Against SARS-CoV-2 Main Protease. Front Chem. 2020; 8:595273.
Score: 0.231
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Structure-based virtual screening and molecular dynamics simulation of SARS-CoV-2 Guanine-N7 methyltransferase (nsp14) for identifying antiviral inhibitors against COVID-19. J Biomol Struct Dyn. 2021 08; 39(13):4582-4593.
Score: 0.222
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Shape-based Machine Learning Models for the Potential Novel COVID-19 Protease Inhibitors Assisted by Molecular Dynamics Simulation. Curr Top Med Chem. 2020; 20(24):2146-2167.
Score: 0.215