SSLDTI: A novel method for drug-target interaction prediction based on self-supervised learning
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Guangxi Province
Publisher
Elsevier BV
Reference32 articles.
1. A comprehensive map of molecular drug targets;Santos;Nat Rev Drug Discov,2017
2. Integrating statistical predictions and experimental verifications for enhancing protein-chemical interaction predictions in virtual screening;Nagamine;PLoS Comput Biol,2009
3. Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework;Yamanishi;Bioinformatics,2010
4. SuperTarget goes quantitative: update on drug–target interactions;Hecker;Nucleic Acids Res,2012
5. Drug repositioning by integrating target information through a heterogeneous network model;Wang;Bioinformatics,2014
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