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CrossRef Text and Data Mining |
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Prediction of Drug–Drug Interactions by Using Profile Fingerprint Vectors and Protein Similarities |
Selma Dere, Serkan Ayvaz |
Healthc Inform Res. 2020;26(1):42-49. Published online January 31, 2020 DOI: https://doi.org/10.4258/hir.2020.26.1.42 |
Prediction of Drug–Drug Interactions by Using Profile Fingerprint Vectors and Protein Similarities Using drug-drug and protein-protein similarities as feature vector for drug-target binding prediction Prediction of the extent and variation of grapefruit juice-drug interactions from the pharmacokinetic profile in the absence of grapefruit juice Prediction of Drug-Target Interactions by Ensemble Learning Method From Protein Sequence and Drug Fingerprint Predicting Drug-Drug Interactions Using Meta-path Based Similarities 2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 2021; Integration of various protein similarities using random forest technique to infer augmented drug-protein matrix for enhancing drug-disease association prediction Drug-Drug Interactions Prediction Using Fingerprint Only System Prediction of Drug-Drug Interactions Through the Integration of Drug Phenotypic, Therapeutic, Structural, and Genomic Similarities DDIPred: Graph Convolutional Network-Based Drug-drug Interactions Prediction Using Drug Chemical Structure Embedding 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 2022; Accelerating Drug Discovery by Early Protein Drug Target Prediction Based on a Multi-Fingerprint Similarity Search † |