Litcius/Paper detail

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

Sugandh Kumar, Bharati Singh, Pratima Kumari, Preethy V. Kumar, Geetanjali Agnihotri, Shaheerah Khan, Tushar Kant Beuria, Gulam Hussain Syed, Anshuman Dixit

2021Computational and Structural Biotechnology Journal44 citationsDOIOpen Access PDF

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.

Topics & Concepts

Coronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakIdentification (biology)Inhibitory postsynaptic potentialVirologySars virusCoronavirusPharmacologyMedicineComputational biologyBiologyInfectious disease (medical specialty)DiseaseInternal medicineOutbreakBotanySARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research StudiesComputational Drug Discovery Methods