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AI in Drug-Target Interaction Discovery by firouzi.chemist is a document available to read on EtoBox.

This review discusses the role of artificial intelligence (AI) in enhancing the identification of drug-target interactions (DTIs) in drug discovery. It highlights the limitations of traditional methods and emphasizes the advantages of AI techniques, including classical machine learning and deep learning, in improving prediction accuracy and reducing costs. The review also outlines key databases, tools, and methodologies used in DTI prediction, while addressing current challenges and future directions for AI

Author
firouzi.chemist
Language
EN