Ligand-based quantitative structural assessments of SARS-CoV-2 3CLpro inhibitors: An analysis in light of structure-based multi-molecular modeling evidences-Reference-Cited by-同舟云学术

Ligand-based quantitative structural assessments of SARS-CoV-2 3CLpro inhibitors: An analysis in light of structure-based multi-molecular modeling evidences

Published:2022-03 Issue: Volume:1251 Page:132041
ISSN:0022-2860
Container-title:Journal of Molecular Structure
language:en
Short-container-title:Journal of Molecular Structure

Author:

Adhikari Nilanjan,Banerjee Suvankar,Baidya Sandip Kumar,Ghosh Balaram,Jha Tarun

Funder

Indian Council of Medical Research

Council of Scientific and Industrial Research, India

Publisher

Elsevier BV

Subject

Inorganic Chemistry,Organic Chemistry,Spectroscopy,Analytical Chemistry

Reference107 articles.

1. Shell disorder analysis suggests that pangolins offered a window for a silent spread of an attenuated SARS-CoV-2 precursor among humans;Goh;J. Proteome. Res.,2020

2. Dissecting the drug development strategies against SARS-CoV-2 through diverse computational modeling techniques;Adhikari,2020

3. COVID-19: the first documented coronavirus pandemic in history;Liu;Biomed. J.,2020

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