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2020 – today
- 2024
[j7]Daeahn Cho, Myeong-Sang Yu, Jeongyoon Shin, Jingyu Lee, Yubin Kim, Hoon-Chul Kang, Se Hee Kim, Dokyun Na
:
A computational clinical decision-supporting system to suggest effective anti-epileptic drugs for pediatric epilepsy patients based on deep learning models using patient's medical history. BMC Medical Informatics Decis. Mak. 24-S(2): 149 (2024)- 2023
- [j6]Bilal Shaker, Jingyu Lee, Yunhyeok Lee, Myeong-Sang Yu, Hyang-Mi Lee, Eunee Lee, Hoon-Chul Kang, Kwang-Seok Oh, Hyung Wook Kim, Dokyun Na:
A machine learning-based quantitative model (LogBB_Pred) to predict the blood-brain barrier permeability (logBB value) of drug compounds. Bioinform. 39(10) (2023) - 2021
- [j5]Bilal Shaker, Myeong-Sang Yu, Jin Sook Song, Sunjoo Ahn, Jae Yong Ryu, Kwang-Seok Oh, Dokyun Na:
LightBBB: computational prediction model of blood-brain-barrier penetration based on LightGBM. Bioinform. 37(8): 1135-1139 (2021) - 2020
- [j4]Myeong-Sang Yu, Jingyu Lee, Yongmin Lee, Dokyun Na:
2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor. BMC Bioinform. 21-S(5): 245 (2020)
2010 – 2019
- 2019
- [j3]Hyang-Mi Lee, Myeong-Sang Yu, Sayada Reemsha Kazmi, Seong Yun Oh, Ki-Hyeong Rhee, Myung-Ae Bae, Byung Ho Lee, Dae-Seop Shin, Kwang-Seok Oh, Hyithaek Ceong, Donghyun Lee, Dokyun Na:
Computational determination of hERG-related cardiotoxicity of drug candidates. BMC Bioinform. 20-S(10): 67-73 (2019) - [j2]Sayada Reemsha Kazmi, Ren Jun, Myeong-Sang Yu, Chanjin Jung, Dokyun Na:
In silico approaches and tools for the prediction of drug metabolism and fate: A review. Comput. Biol. Medicine 106: 54-64 (2019) - 2018
- [j1]Myeong-Sang Yu, Hyang-Mi Lee, Aaron Park, Chungoo Park, Hyithaek Ceong, Ki-Hyeong Rhee, Dokyun Na:
In silico prediction of potential chemical reactions mediated by human enzymes. BMC Bioinform. 19-S(8): 29-37 (2018) - 2015
- [c1]Myeong-Sang Yu, Dokyun Na:
Evaluation of Disease-Associated Text-Mining Databases. DTMBIO@CIKM 2015: 20
Coauthor Index
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