Sign in
In silico identification of potential inhibitors against main protease of SARS-CoV-2 6LU7 from Andrographis panniculata via molecular docking, binding energy calculations and molecular dynamics simulation studies
Journal article   Open access  Peer reviewed

In silico identification of potential inhibitors against main protease of SARS-CoV-2 6LU7 from Andrographis panniculata via molecular docking, binding energy calculations and molecular dynamics simulation studies

Mayakrishnan Vijayakumar, Balakarthikeyan Janani, Priya Kannappan, Senthil Renganathan, Sameer Al-Ghamdi, Mohammed Alsaidan, Mohamed A. Abdelaziz, Abubucker Peer Mohideen, Mohammad Shahid and Thiyagarajan Ramesh
Saudi journal of biological sciences, Vol.29(1), pp.18-29
01/01/2022
PMID: 34729030

Abstract

Andrographolide Corona COVID-19 (6LU7) Diterpenoids Molecular dynamic simulations Natural compounds SARS-CoV-2
url
https://doi.org/10.1016/j.sjbs.2021.10.060View
Published (Version of record) Open

Metrics

1 Record Views

Details