Bilal Shaker

According to our database, Bilal Shaker authored at least 5 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Employing Automated Machine Learning (AutoML) Methods to Facilitate the <i>In Silico</i> ADMET Properties Prediction.

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

J. Chem. Inf. Model., 2025

Precision medicine approach for in vitro modeling and computational screening of anti-epileptic drugs in pediatric epilepsy patients with SCN2A (R1629L) mutation.

Jihun Kim, Bilal Shaker, Ara Ko, Sunggon Yoo, Dokyun Na, Hoon-Chul Kang

Comput. Biol. Medicine, 2025

2023

A machine learning-based quantitative model (LogBB_Pred) to predict the blood-brain barrier permeability (logBB value) of drug compounds.

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

Bioinform., October, 2023

2021

<i>In silico</i> methods and tools for drug discovery.

Bilal Shaker, Sajjad Ahmad, Jingyu Lee, Chanjin Jung, Dokyun Na

Comput. Biol. Medicine, 2021

LightBBB: computational prediction model of blood-brain-barrier penetration based on LightGBM.

Bilal Shaker, Myeong-Sang Yu, Jin Sook Song, Sunjoo Ahn, Jae Yong Ryu, Kwang-Seok Oh, Dokyun Na

Bioinform., 2021