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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Ngā kaituhi matua:	Qadeer Hashir, Muhammad Asfand E Yar, Asad Ullah, Shahid Kamal, Fasee Ullah, Zul Hilmi Abdullah
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Frontiers Media S.A. 2026-04-01
Rangatū:	Frontiers in Pharmacology
Ngā marau:	computational prediction drug–drug interactions explainable AI GNNS multimodal learning
Urunga tuihono:	https://www.frontiersin.org/articles/10.3389/fphar.2026.1816394/full
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!