| Artificial intelligence in drug discovery: a comprehensive review of data-driven and machine learning approaches H Kim, E Kim, I Lee, B Bae, M Park, H Nam Biotechnology and Bioprocess Engineering 25 (6), 895-930, 2020 | 85 | 2020 |
| Drug repositioning of herbal compounds via a machine-learning approach E Kim, A Choi, H Nam BMC bioinformatics 20 (10), 33-43, 2019 | 68 | 2019 |
| Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints E Kim, H Nam BMC bioinformatics 18 (7), 25-34, 2017 | 48 | 2017 |
| DeSIDE-DDI: interpretable prediction of drug-drug interactions using drug-induced gene expressions E Kim, H Nam Journal of Cheminformatics 14 (1), 1-12, 2022 | 21 | 2022 |
| Toxicity Predictions using Compound Descriptions E Kim, S Kim, S Ha, H Nam Proceedings of the ACM Ninth International Workshop on Data and Text Mining …, 2015 | | 2015 |
