A comprehensive landscape of AI applications in broad-spectrum drug interaction prediction: a systematic review

Abstract In drug development, managing interactions such as drug–drug, drug–disease, and drug–nutrient is critical for ensuring the safety and efficacy of pharmacological treatments. These interactions often overlap, forming a complex, interconnected landscape that necessitates accurate prediction t...

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Bibliographic Details

Published in:	Journal of Cheminformatics
Main Authors:	Nour H. Marzouk, Sahar Selim, Mustafa Elattar, Mai S. Mabrouk, Mohamed Mysara
Format:	Article
Language:	English
Published:	BMC 2025-09-01
Subjects:	Artificial intelligence Multiple drug interactions Drug–drug interactions Drug–disease interactions Drug–nutrient interactions Machine learning
Online Access:	https://doi.org/10.1186/s13321-025-01093-2