| Perspective for discovery of small molecule IL-6 inhibitors through study of structure–activity relationships and molecular docking H Nada, A Sivaraman, Q Lu, K Min, S Kim, JI Goo, Y Choi, K Lee Journal of Medicinal Chemistry 66 (7), 4417-4433, 2023 | 26 | 2023 |
| Discovery and optimization of natural-based nanomolar c-Kit inhibitors via in silico and in vitro studies H Nada, S Kim, S Godesi, J Lee, K Lee Journal of Biomolecular Structure and Dynamics 41 (21), 11904-11915, 2023 | 9 | 2023 |
| Machine learning-based approach to developing potent EGFR inhibitors for breast cancer─ design, synthesis, and in vitro evaluation H Nada, AR Gul, A Elkamhawy, S Kim, M Kim, Y Choi, TJ Park, K Lee ACS omega 8 (35), 31784-31800, 2023 | 9 | 2023 |
| New insights into protein–protein interaction modulators in drug discovery and therapeutic advance H Nada, Y Choi, S Kim, KS Jeong, NA Meanwell, K Lee Signal Transduction and Targeted Therapy 9 (1), 1-32, 2024 | 4 | 2024 |
| From pixels to druggable leads: A CADD strategy for the design and synthesis of potent DDR1 inhibitors H Nada, S Kim, C Jaemin, S Park, Y Choi, MY Lee, K Lee Computer Methods and Programs in Biomedicine 254, 108318, 2024 | 3 | 2024 |
| PT-Finder: A multi-modal neural network approach to target identification H Nada, S Kim, K Lee Computers in Biology and Medicine 174, 108444, 2024 | 3 | 2024 |
| Identification of potent hDHODH inhibitors for lung cancer via virtual screening of a rationally designed small combinatorial library H Nada, S Kim, S Park, MY Lee, K Lee ACS omega 8 (24), 21769-21780, 2023 | 3 | 2023 |