[2602.23396] Complex Networks and the Drug Repositioning Problem

[2602.23396] Complex Networks and the Drug Repositioning Problem

arXiv - Machine Learning 3 min read

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Abstract page for arXiv paper 2602.23396: Complex Networks and the Drug Repositioning Problem

Quantitative Biology > Molecular Networks arXiv:2602.23396 (q-bio) [Submitted on 26 Feb 2026] Title:Complex Networks and the Drug Repositioning Problem Authors:Felipe Bivort Haiek View a PDF of the paper titled Complex Networks and the Drug Repositioning Problem, by Felipe Bivort Haiek View PDF Abstract:In this Master's thesis, the graph properties of a multi-level drug-protein network are studied, as well as how the network's shape has informed discoveries over the years, identifying primarily crawling discoveries and a smaller number of hopping discoveries. Finally, the network structure is used to inform a network diffusion recommendation system and to prioritize existing drugs for repurposing against proteins in organisms that cause Neglected Tropical Diseases. Subjects: Molecular Networks (q-bio.MN); Machine Learning (cs.LG) Cite as: arXiv:2602.23396 [q-bio.MN]   (or arXiv:2602.23396v1 [q-bio.MN] for this version)   https://doi.org/10.48550/arXiv.2602.23396 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Felipe Bivort Haiek [view email] [v1] Thu, 26 Feb 2026 04:16:51 UTC (5,528 KB) Full-text links: Access Paper: View a PDF of the paper titled Complex Networks and the Drug Repositioning Problem, by Felipe Bivort HaiekView PDF view license Current browse context: q-bio.MN < prev   |   next > new | recent | 2026-02 Change to browse by: cs cs.LG q-bio References & Citations NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading.....

Originally published on March 02, 2026. Curated by AI News.

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