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Computational Biology and Chemistry|June 13, 2020
hERG-Att: Self-attention-based deep neural network for predicting hERG blockersHyunho Kim, Hojung NamJournal of Cheminformatics|November 13, 2025
Enhancing multi-task in vivo toxicity prediction via integrated knowledge transfer of chemical knowledge and in vitro toxicity informationMinsu Park, Yewon Shin, Hyunho Kim, et al.Briefings in Bioinformatics|June 16, 2022
BayeshERG: a robust, reliable and interpretable deep learning model for predicting hERG channel blockersHyunho Kim, Minsu Park, Ingoo Lee, et al.Nature Communications|July 2, 2025
A genotype-to-drug diffusion model for generation of tailored anti-cancer small moleculesHyunho Kim, Bongsung Bae, Minsu Park, et al.Biotechnology and Bioprocess Engineering : BBE|January 13, 2021
Artificial Intelligence in Drug Discovery: A Comprehensive Review of Data-driven and Machine Learning ApproachesHyunho Kim, Eunyoung Kim, Ingoo Lee, et al.BMC 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 NamPageof 24