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Related Experiment Video

Updated: Nov 11, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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SAveRUNNER: an R-based tool for drug repurposing.

Giulia Fiscon1,2, Paola Paci3,4

  • 1Institute for Systems Analysis and Computer Science, Antonio Ruberti", National Research Council, Rome, Italy.

BMC Bioinformatics
|March 24, 2021
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Summary
This summary is machine-generated.

A new R-code tool, SAveRUNNER, aids drug repurposing for COVID-19 by analyzing drug-target and disease networks. It efficiently identifies potential new uses for existing drugs, accelerating therapeutic discovery against SARS-CoV-2.

Keywords:
Drug repurposingNetwork medicineNetwork theory

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Area of Science:

  • Computational biology
  • Network pharmacology
  • Drug discovery

Background:

  • No effective treatments for COVID-19 necessitate new therapeutic strategies.
  • Vaccination alone has not achieved herd immunity, leaving many vulnerable to SARS-CoV-2.
  • Drug repurposing offers a faster, cost-effective alternative to de novo drug discovery.

Purpose of the Study:

  • To develop a network-based computational tool for efficient drug repurposing.
  • To identify novel therapeutic indications for existing drugs against diseases like COVID-19.
  • To provide a freely available R-code resource for the scientific community.

Main Methods:

  • Developed SAveRUNNER (Searching off-lAbel dRUg aNd NEtwoRk), an R-code tool.
  • Utilized a network-based approach to quantify interactions between drug targets and disease proteins.
  • Employed a novel similarity measure prioritizing drugs and diseases in shared network neighborhoods within the human interactome.

Main Results:

  • SAveRUNNER successfully predicted off-label drug repositioning for SARS-CoV-2.
  • The tool demonstrated high accuracy in identifying known drug-disease associations.
  • The network-based approach effectively detected potential novel indications for existing drugs.

Conclusions:

  • SAveRUNNER is a powerful tool for rapidly identifying potential drug repurposing candidates.
  • The algorithm's accuracy in predicting known indications validates its utility for novel discoveries.
  • The freely available R-code and user guide facilitate its application in combating diseases like COVID-19.