Article

DrugTar Improves Druggability Prediction by Integrating Large Language Models and Gene Ontologies

2024-09-24

Abstract excerpt

Target discovery is crucial in drug development, especially for complex chronic diseases. Recent advances in high-throughput technologies and the explosion of biomedical data have highlighted the potential of computational druggability prediction methods. However, most current methods rely on sequence-based features with machine learning, which often face challenges related to hand-crafted features, reproducibilit...

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Literature Corpus work: 6b7fcac7-8111-5401-9448-f0e1dc75a8a6
DOI: 10.1101/2024.09.21.614218

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