Funder
National Key Research and Development Program of China
Fundamental Research Funds for the Central Universities
Sichuan Province Science and Technology Support Program
National Natural Science Foundation of China
Natural Science Foundation of Sichuan Province
China Postdoctoral Science Foundation
Sichuan Province Department of Science and Technology
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference69 articles.
1. Finding off-targets, biological pathways, and target diseases for chymase inhibitors via structure-based systems biology approach;Arooj;Proteins,2015
2. Semi-mechanistic population pharmacokinetic model to predict the drug-drug interaction between S-Ketamine and Ticlopidine in healthy human volunteers;Ashraf;CPT: Pharmacometrics & Systems Pharmacology,2018
3. MUFFIN: Multi-scale feature fusion for drug-drug interaction prediction;Chen;Bioinformatics,2021
4. Machine learning-based prediction of drug-drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties;Cheng;Journal of the American Medical Informatics Association,2014
5. Chu, X., Lin, Y., Wang, Y., et al. (2019). MLRDA: A multi-task semi-supervised learning framework for drug-drug interaction prediction. In Proceedings of the twenty-eighth international joint conference on artificial intelligence (pp. 4518–4524).
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