Computational approaches for drug–drug interaction prediction: a systematic review of data sources, modeling strategies, and evaluation frameworks

IntroductionDrug-drug interactions (DDIs) are a major cause of preventable harm in polypharmacy and remain difficult to anticipate as formularies, indication profiles, and interaction labels evolve. Over the last few years, the DDI modeling landscape has shifted rapidly toward graph-native, multimod...

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Detalhes bibliográficos

Principais autores:	Qadeer Hashir, Muhammad Asfand E Yar, Asad Ullah, Shahid Kamal, Fasee Ullah, Zul Hilmi Abdullah
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-04-01
coleção:	Frontiers in Pharmacology
Assuntos:	computational prediction drug–drug interactions explainable AI GNNS multimodal learning
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fphar.2026.1816394/full
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