MNLGFeb 26

Complex Networks and the Drug Repositioning Problem

arXiv:2602.23396v1h-index: 3
Originality Incremental advance
AI Analysis

This work addresses the problem of drug repositioning for Neglected Tropical Diseases by developing a network-based recommendation system.

This thesis investigates the graph properties of a multi-level drug-protein network, identifying crawling and hopping discovery patterns. It then leverages this network structure to develop a diffusion recommendation system for prioritizing existing drugs against Neglected Tropical Disease proteins.

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.

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