logo
ResearchBunny Logo
Repurposing of known drugs for COVID-19 using molecular docking and simulation analysis

Medicine and Health

Repurposing of known drugs for COVID-19 using molecular docking and simulation analysis

P. Bhanu, A. S. Setlur, et al.

This research delves into repurposing 51 existing drugs for COVID-19 treatment, uncovering potential drug candidates with strong binding affinities for key proteins involved in SARS-CoV-2 infection. The study reveals exciting prospects for further clinical investigation by an expert team including Piyush Bhanu and Anagha S Setlur.

00:00
00:00
Playback language: English
Abstract
This research investigated the repurposing of 51 existing drugs for COVID-19 treatment. Using molecular docking and simulation analysis, the study focused on five key protein targets involved in SARS-CoV-2 infection. The findings revealed several drug candidates with strong binding affinities and stable interactions, suggesting potential for further clinical investigation.
Publisher
Bioinformation
Published On
Feb 28, 2023
Authors
Piyush Bhanu, Anagha S Setlur, K Chandrashekar, Vidya Niranjan, Nisha Hemandhar Kumar, Sakshi Buchke, Jitendra Kumar, Anita Rani, Sushil M Tiwari, Vachaspati Mishra
Tags
COVID-19
drug repurposing
molecular docking
SARS-CoV-2
clinical investigation
binding affinities
drug candidates

Related Publications

Explore these studies to deepen your understanding of the subject.

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets
Medicine and Health

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets

X. Xue, S. Chinnaperumal, et al.

A nanoluciferase SARS-CoV-2 for rapid neutralization testing and screening of anti-infective drugs for COVID-19
Medicine and Health

A nanoluciferase SARS-CoV-2 for rapid neutralization testing and screening of anti-infective drugs for COVID-19

X. Xie, A. E. Muruato, et al.

Using the interest theory of rights and Hohfeldian taxonomy to address a gap in machine learning methods for legal document analysis
Computer Science

Using the interest theory of rights and Hohfeldian taxonomy to address a gap in machine learning methods for legal document analysis

A. Izzidien

Determinants of weight, psychological status, food contemplation and lifestyle changes in patients with obesity during the COVID-19 lockdown: a nationwide survey using multiple correspondence analysis
Medicine and Health

Determinants of weight, psychological status, food contemplation and lifestyle changes in patients with obesity during the COVID-19 lockdown: a nationwide survey using multiple correspondence analysis

A. Caretto, S. Pintus, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny