![]() |
CrossRef Text and Data Mining |
Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
e-Pharmacophore modeling and in silico study of CD147 receptor against SARS-CoV-2 drugs |
Nisha Kumari Pandit, Simranjeet Singh Mann, Anee Mohanty, Sumer Singh Meena |
Genomics Inform. 2023;21(2):e17 Published online June 30, 2023 DOI: https://doi.org/10.5808/gi.23005 |
e-Pharmacophore modeling and in silico study of CD147 receptor against SARS-CoV-2 drugs Repurposing Simeprevir, Calpain Inhibitor IV and a Cathepsin F Inhibitor Against SARS-CoV-2: A Study Using in Silico Pharmacophore Modeling and Docking Methods Repurposing Simeprevir, Calpain Inhibitor IV and a Cathepsin F Inhibitor Against SARS-CoV-2: A Study Using in Silico Pharmacophore Modeling and Docking Methods Dissecting the Drug Development Strategies Against SARS-CoV-2 Through Diverse Computational Modeling Techniques In-silico design of a multi-epitope recombinant vaccine against SARS-CoV-2 targeting the receptor-binding domain In search of drugs to alleviate suppression of the host's innate immune responses against SARS-CoV-2 using a molecular modeling approach Marine drugs as putative inhibitors against non-structural proteins of SARS-CoV-2: an in silico study Pharmacophore Analyses of SARS-CoV-2 Active Main Protease Inhibitors Using Pharmacophore Query and Docking Study In-silico design of a multi-epitope recombinant vaccine against SARS-CoV-2 targeting the receptor-binding domain In-silico approach to design effective antiviral drugs against SARS- CoV-2 and SARS-CoV-1 from reported phytochemicals |