Drug–drug interaction prediction based on local substructure features and their complements

Author:

Zhou Qing,Zhang Yang,Wang Siyuan,Wu Dayu

Publisher

Elsevier BV

Subject

Materials Chemistry,Computer Graphics and Computer-Aided Design,Physical and Theoretical Chemistry,Spectroscopy

Reference52 articles.

1. Attention-based knowledge graph representation learning for predicting drug-drug interactions;Su;Brief. Bioinform.,2022

2. A comprehensive review of computational methods for drug-drug interaction detection;Qiu;IEEE/ACM Trans. Comput. Biol. Bioinform.,2021

3. MDF-SA-DDI: predicting drug–drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism;Lin;Brief. Bioinform.,2022

4. Adverse drug events in patients with chronic kidney disease associated with multiple drug interactions and polypharmacy;Sommer;Drugs & Aging,2020

5. Post-marketing withdrawal of 462 medicinal products because of adverse drug reactions: a systematic review of the world literature;Onakpoya;BMC Med.,2016

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