Targeting SARS-CoV-2 Main Protease by Teicoplanin: A Mechanistic Insight by in Silico Studies

03 June 2020, Version 1
This content is a preprint and has not undergone peer review at the time of posting.


First emerged in late December 2019, the outbreak of novel severe acute respiratory syndrome corona virus-2 (SARS-CoV-2) pandemic has instigated public-health emergency around the globe. Although available medications can only alleviate few symptoms like difficulty in breathing, the world is craving to identify specific antiviral agents or vaccines against SARS-CoV-2. Teicoplanin is a glycopeptide class of antibiotic which is regularly used for treating Gram-positive bacterial infections, has shown potential therapeutic efficacy against SARS-CoV-2 in vitro. Therefore, in this study, a mechanistic insight of intermolecular interactions between teicoplanin and SARS-CoV-2 main protease has been scrutinized by employing molecular modelling approaches. Molecular docking study was carried out by three different docking programs including AutoDock4, AutoDock Vina and Dock6. The dynamic and thermodynamics constraints of docked drug in complex with target protein under specific physiological conditions was ascertained by all-atom molecular dynamics (MD) simulation study. Root mean square deviation of carbon α chain exhibited uniform value in the range of 1-1.7 Å while root mean square fluctuations were also recorded below 1.72 Å, justifying the stability of the bound complex in biological environments. Key interacting residues involved in hydrogen bonds include Thr26, His41, Asn142, Ser144, Glu166, and Gln189. Several water bridges and hydrophobic interactions also anchored docked teicoplanin in the inhibitor binding site. These outcomes are supposed to be fruitful in rational design of antiviral drugs against SARS-CoV-2.


SARS-CoV-2 protease
molecular dynamics


Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.