REMEDi4ALL - Standard Operation Procedure - in silico Repurposing

A general goal of drug repurposing projects is to select compounds that have been approved by regulatory agencies, or that are in advanced clinical trial phases and could be prioritized to be assayed for new indications. The in silico analysis of databases and the development of predictive tools offers an opportunity to increase the efficiency of this process. This SOP describes a potential approach to use in silico tools and databases to establish a drug repurposing workflow with the goal of identifying drugs for new indications, analyze their possible mechanisms of action (targets and pathways), and evaluate other properties like pharmacokinetics and safety.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-16
DOI
https://doi.org/10.5281/zenodo.15672625
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
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article

REMEDi4ALL - Standard Operation Procedure - in silico Repurposing

Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

REMEDi4ALL - Standard Operation Procedure - in silico Repurposing

article en

Abstract

A general goal of drug repurposing projects is to select compounds that have been approved by regulatory agencies, or that are in advanced clinical trial phases and could be prioritized to be assayed for new indications. The in silico analysis of databases and the development of predictive tools offers an opportunity to increase the efficiency of this process. This SOP describes a potential approach to use in silico tools and databases to establish a drug repurposing workflow with the goal of identifying drugs for new indications, analyze their possible mechanisms of action (targets and pathways), and evaluate other properties like pharmacokinetics and safety.

Zenodo (CERN European Organization for Nuclear Research)
Universitat Pompeu Fabra (ES)
Partnerships for the goals
Openalex Percentile: Top 58%
Computational Drug Discovery Methods
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