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Journal of Cheminformatics|December 2, 2025
DeepRNA-DTI: a deep learning approach for RNA-compound interaction prediction with binding site interpretabilityHaelee Bae, Hojung NamBiomedicines|January 21, 2023
GraphATT-DTA: Attention-Based Novel Representation of Interaction to Predict Drug-Target Binding AffinityHaelee Bae, Hojung NamJournal of Cheminformatics|September 6, 2023
LOGICS: Learning optimal generative distribution for designing de novo chemical structuresBongsung Bae, Haelee Bae, Hojung NamBMC Bioinformatics|June 16, 2017
Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprintsEunyoung Kim, Hojung NamJournal of Cheminformatics|March 5, 2022
DeSIDE-DDI: interpretable prediction of drug-drug interactions using drug-induced gene expressionsEunyoung Kim, Hojung NamJournal of Cheminformatics|February 9, 2022
Sequence-based prediction of protein binding regions and drug-target interactionsIngoo Lee, Hojung NamBMC Bioinformatics|May 6, 2020
Prediction model construction of mouse stem cell pluripotency using CpG and non-CpG DNA methylation markersSoobok Joe, Hojung NamPlos One|February 14, 2017
SELF-BLM: Prediction of drug-target interactions via self-training SVMJongsoo Keum, Hojung NamBMC Medical Informatics and Decision Making|July 26, 2016
Prognostic factor analysis for breast cancer using gene expression profilesSoobok Joe, Hojung NamBMC Bioinformatics|June 14, 2018
Identification of drug-target interaction by a random walk with restart method on an interactome networkIngoo Lee, Hojung NamPageof 6