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2020 – today
- 2025
[j5]Jihun Kim, Bilal Shaker, Ara Ko, Sunggon Yoo
, Dokyun Na, Hoon-Chul Kang:
Precision medicine approach for in vitro modeling and computational screening of anti-epileptic drugs in pediatric epilepsy patients with SCN2A (R1629L) mutation. Comput. Biol. Medicine 191: 110100 (2025)- [j4]Herim Han, Bilal Shaker, Jin Hee Lee, Sunghwan Choi, Sanghee Yoon, Maninder Singh, Shaherin Basith, Minghua Cui, Sunil Ahn, Junyoung An, Soosung Kang, Min Sun Yeom, Sun Choi:
Employing Automated Machine Learning (AutoML) Methods to Facilitate the In Silico ADMET Properties Prediction. J. Chem. Inf. Model. 65(7): 3215-3225 (2025) - 2023
- [j3]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
- [j2]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) - [j1]Bilal Shaker, Sajjad Ahmad, Jingyu Lee, Chanjin Jung, Dokyun Na:
In silico methods and tools for drug discovery. Comput. Biol. Medicine 137: 104851 (2021)
Coauthor Index
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