Identification of multipotent drugs for COVID-19 therapeutics with the evaluation of their SARS-CoV2 inhibitory activity

  • Comput Struct Biotechnol J. 2021;19:1998-2017. doi: 10.1016/j.csbj.2021.04.014.
Sugandh Kumar  1  2 Bharati Singh  1  2 Pratima Kumari  1  3 Preethy V Kumar  1  2 Geetanjali Agnihotri  4 Shaheerah Khan  1  3 Tushar Kant Beuria  1 Gulam Hussain Syed  1 Anshuman Dixit  1
Affiliations
  • 1. Institute of Life Science, Nalco Square, Bhubaneswar, Odisha 751023, India.
  • 2. School of Biotechnology, Kalinga Institute of Industrial Technology (KIIT) University, Bhubaneswar, Odisha 751024, India.
  • 3. Regional Centre for Biotechnology (RCB), 3rd Milestone, Faridabad-Gurgaon, Haryana 121001, India.
  • 4. School of Chemical Technology, Kalinga Institute of Industrial Technology (KIIT) University, Bhubaneswar, Odisha 751024, India.
Abstract

The SARS-CoV2 is a highly contagious pathogen that causes COVID-19 disease. It has affected millions of people globally with an average lethality of ~3%. There is an urgent need of drugs for the treatment of COVID-19. In the current studies, we have used bioinformatics techniques to screen the FDA approved drugs against nine SARS-CoV2 proteins to identify drugs for repurposing. Additionally, we analyzed if the identified molecules can also affect the human proteins whose expression in lung changed during SARS-CoV2 Infection. Targeting such genes may also be a beneficial strategy to curb disease manifestation. We have identified 74 molecules that can bind to various SARS-CoV2 and human host proteins. We experimentally validated our in-silico predictions using vero E6 cells infected with SARS-CoV2 virus. Interestingly, many of our predicted molecules viz. capreomycin, celecoxib, mefloquine, montelukast, and nebivolol showed good activity (IC50) against SARS-CoV2. We hope that these studies may help in the development of new therapeutic options for the treatment of COVID-19.

Keywords
COVID-19; Coronavirus; Docking; Drug repurposing; Molecular dynamics; Network analysis; Polypharmacology.
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