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Encoding Drug-Target-Pathway-Disease profiles for Drug-Cancer Association Prediction using Graph Transformer-Convolution Networks

2025-03-11

Abstract excerpt

New drug development is costly, time-consuming, and has a low success rate, leading to a decline in drug discovery efficiency over time. Drug repurposing has emerged as an effective alternative, applying existing, safe drugs to new diseases, thereby reducing development time and costs by bypassing preclinical toxicology testing. With the increasing availability of large-scale interaction data (e.g., drug-protein,...

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Literature Corpus work
bf9a5696-ff89-52bb-961c-0f44f9babbc6
DOI
10.1101/2025.03.05.641572
Open publication

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Encoding Drug-Target-Pathway-Disease profiles for Drug-Cancer Association Prediction using Graph Transformer-Convolution NetworksDOI 10.1101/2025.03.05.641572
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