Target repositioning using multi-layer networks and machine learning: The case of prostate cancer

Target repositioning using multi-layer networks and machine learning: The case of prostate cancer

The discovery of novel therapeutic targets, defined as proteins which drugs can interact with to induce therapeutic benefits, typically represent the first and most important step of drug discovery. One solution for target discovery is target repositioning, a strategy which relies on the repurposing...

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Bibliographic Details
Main Authors: Milan Picard, Marie-Pier Scott-Boyer, Antoine Bodein, Mickaël Leclercq, Julien Prunier, Olivier Périn, Arnaud Droit
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Multi-omics
Target prioritization
Drug discovery
Disease signature
Random walk
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037024002101
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