SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization

Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings

(2019) Remzi Celebi et al.   BMC BIOINFORMATICS

Modeling polypharmacy side effects with graph convolutional networks

(2018) Marinka Zitnik et al.   BIOINFORMATICS

Deep learning improves prediction of drug–drug and drug–food interactions

(2018) Jae Yong Ryu et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

DrugBank 5.0: a major update to the DrugBank database for 2018

(2017) David S Wishart et al.   NUCLEIC ACIDS RESEARCH

Predicting drug–drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics knowledge

(2017) Takako Takeda et al.   Journal of Cheminformatics

Learning a Health Knowledge Graph from Electronic Medical Records

(2017) Maya Rotmensch et al.   Scientific Reports

Large-scale exploration and analysis of drug combinations

(2015) Peng Li et al.   BIOINFORMATICS

Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes

(2015) Daniel S. Himmelstein et al.   PLoS Computational Biology

Informatics confronts drug–drug interactions

(2013) Bethany Percha et al.   TRENDS IN PHARMACOLOGICAL SCIENCES

Data-Driven Prediction of Drug Effects and Interactions

(2012) N. P. Tatonetti et al.   Science Translational Medicine

Extended-Connectivity Fingerprints

(2010) David Rogers et al.   Journal of Chemical Information and Modeling