Computational Guided Approach for Drug Repurposing Against SARS-CoV-2 | Zendy

Jigisha Anand | Zendy; Tanmay Ghildiyal | Zendy; Aakanksha Madhwal | Zendy; Rishabh Bhatt | Zendy; Devvret Verma | Zendy; Nishant Rai | Zendy

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Computational Guided Approach for Drug Repurposing Against SARS-CoV-2

Author(s) -

Jigisha Anand,

Tanmay Ghildiyal,

Aakanksha Madhwal,

Rishabh Bhatt,

Devvret Verma,

Nishant Rai

Publication year - 2021

Publication title -

future virology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.462

H-Index - 34

eISSN - 1746-0808

pISSN - 1746-0794

DOI - 10.2217/fvl-2020-0403

Subject(s) - drug repositioning , repurposing , covid-19 , drug , virology , sars virus , medicine , computational biology , computer science , pharmacology , biology , infectious disease (medical specialty) , ecology , disease , outbreak

Background: In the current SARS-CoV-2 outbreak, drug repositioning emerges as a promising approach to develop efficient therapeutics in comparison to de novo drug development. The present investigation screened 130 US FDA-approved drugs including hypertension, cardiovascular diseases, respiratory tract infections (RTI), antibiotics and antiviral drugs for their inhibitory potential against SARS-CoV-2. Materials & methods: The molecular drug targets against SARS-CoV-2 proteins were determined by the iGEMDOCK computational docking tool. The protein homology models were generated through SWISS Model workspace. The pharmacokinetics of all the ligands was determined by ADMET analysis. Results: The study identified 15 potent drugs exhibiting significant inhibitory potential against SARS-CoV-2. Conclusion: Our investigation has identified possible repurposed drug candidates to improve the current modus operandi of the treatment given to COVID-19 patients.

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