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

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Bibliographic Details
Title: A comprehensive landscape of AI applications in broad-spectrum drug interaction prediction: a systematic review.
Authors: Marzouk NH; Bioinformatics Group, Centre for Informatics Science (CIS), School of Information Technology and Computer Science (ITCS), Nile University, 12677, Giza, Egypt., Selim S; Medical Imaging and Image Processing Group, Centre for Informatics Science (CIS), School of Information Technology and Computer Science (ITCS), Nile University, 12677, Giza, Egypt., Elattar M; Medical Imaging and Image Processing Group, Centre for Informatics Science (CIS), School of Information Technology and Computer Science (ITCS), Nile University, 12677, Giza, Egypt., Mabrouk MS; Bioinformatics Group, Centre for Informatics Science (CIS), School of Information Technology and Computer Science (ITCS), Nile University, 12677, Giza, Egypt., Mysara M; Bioinformatics Group, Centre for Informatics Science (CIS), School of Information Technology and Computer Science (ITCS), Nile University, 12677, Giza, Egypt. mmaysara@nu.edu.eg.
Source: Journal of cheminformatics [J Cheminform] 2025 Sep 19; Vol. 17 (1), pp. 141. Date of Electronic Publication: 2025 Sep 19.
Publication Type: Journal Article; Review
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101516718 Publication Model: Electronic Cited Medium: Print ISSN: 1758-2946 (Print) Linking ISSN: 17582946 NLM ISO Abbreviation: J Cheminform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1758-2946
DOI:10.1186/s13321-025-01093-2