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Updated: Oct 11, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

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Published on: December 11, 2016

Network analytics for drug repurposing in COVID-19.

Nicoleta Siminea¹, Victor Popescu², Jose Angel Sanchez Martin³

¹Faculty of Mathematics and Computer Science, ICUB, University of Bucharest, Romania and Department of Bioinformatics, National Institute of Research and Development for Biological Sciences, Romania.

Briefings in Bioinformatics

|December 5, 2021

Summary

This study identifies potential drug repurposing candidates for COVID-19 by analyzing host-pathogen interactions. The findings offer new therapeutic targets for SARS-CoV-2 and other diseases.

Keywords:

COVID-19 drug repurposing host factors network biology network controllability

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Area of Science:

Virology and Bioinformatics
Drug Discovery and Development

Background:

SARS-CoV-2 infection relies on specific host factors.
Understanding these interactions is key for therapeutic strategies.

Purpose of the Study:

To explore drug repurposing for COVID-19 by analyzing host factor control.
To identify novel therapeutic targets through network analysis.

Main Methods:

Constructed comprehensive directed protein-protein interaction (PPI) networks.
Integrated host factors, drug targets, and PPI data.
Analyzed networks to identify effective drug targets and combinations.

Main Results:

Identified key host factors crucial for SARS-CoV-2 infection.
Discovered potential drug targets and synergistic drug combinations.
Validated findings using clinical and bioinformatics data.

Conclusions:

The study provides novel insights into COVID-19 molecular mechanisms.
The identified targets and drug combinations show promise for COVID-19 therapy.
The drug repurposing approach is applicable to other infectious diseases.