Peer-reviewed veterinary case report
How drug repurposing predictions are explored and explained
By Alnouri A et al.·2026·Johannes Kepler University·View original on Europe PMC →
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Original publication title: molIEreVIS: exploring and interpreting the evidence behind drug repurposing predictions.
Plain-English summary
This research focuses on finding new uses for existing medications, a process known as drug repurposing. The authors developed a tool called molIEreVIS to help experts evaluate which drugs might be effective for new purposes by visualizing complex data in a way that makes it easier to understand. They worked closely with professionals in the field to create this tool and gathered feedback on its usefulness. The results showed that this new approach could help experts make better decisions and highlighted areas for future improvements. Overall, the study suggests that the tool has the potential to enhance the drug repurposing process.
Abstract
<h4>Introduction</h4>Finding new uses for existing drugs, known as drug repurposing, is a widely adopted drug development strategy in the pharmaceutical industry. Computational drug repurposing leverages vast biomedical data to prioritize repurposing candidates. Once these candidates are prioritized, domain experts face the burden of evaluating their true potential.<h4>Methods</h4>In this work, we propose a visualization-based approach to address this challenge for a multimodal class of computational drug repurposing, where heterogeneous evidence modalities are integrated. We conducted a design study in close collaboration with domain experts, from which we derived a domain abstraction of the expert assessment process. Grounded in this abstraction, we developed an interactive visualization approach that explicitly models the expert reasoning process. We applied the proposed approach to create a prototype implementation, molIEreVIS, in the context of an operational drug repurposing pipeline. We used this prototype to collect qualitative feedback from domain experts actively engaged in assessing computational drug repurposing candidates.<h4>Results</h4>The results demonstrate the potential of our approach to support insights and reasoning in this process and reveal directions for enhancements and future work.
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Search related cases →Original publication on Europe PMC: https://europepmc.org/article/MED/41983039