Evaluation of Disease-Associated Text-Mining Databases. - Myeong-Sang Yu; Dokyun Na (DTMBIO@CIKM, 2015)

In silico prediction of potential chemical reactions mediated by human enzymes. - Myeong-Sang Yu; Hyang-Mi Lee; Aaron Park; Chungoo Park; Hyithaek Ceong; Ki-Hyeong Rhee; Dokyun Na (BMC Bioinform., 2018)

Computational determination of hERG-related cardiotoxicity of drug candidates. - 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 (BMC Bioinform., 2019)

In silico approaches and tools for the prediction of drug metabolism and fate: A review. - Sayada Reemsha Kazmi; Ren Jun; Myeong-Sang Yu; Chanjin Jung; Dokyun Na (Comput. Biol. Medicine, 2019)

2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor. - Myeong-Sang Yu; Jingyu Lee; Yongmin Lee; Dokyun Na (BMC Bioinform., 2020)

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)

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., 2023)

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. - Daeahn Cho; Myeong-Sang Yu; Jeongyoon Shin; Jingyu Lee; Yubin Kim 003; Hoon-Chul Kang; Se Hee Kim; Dokyun Na (BMC Medical Informatics Decis. Mak., 2024)

hERGBoost: A gradient boosting model for quantitative IC50 prediction of hERG channel blockers. - Myeong-Sang Yu; Jingyu Lee; Yunhyeok Lee; Daeahn Cho; Kwang-Seok Oh; Jidon Jang; Nuong Thi Nong; Hyang-Mi Lee; Dokyun Na (Comput. Biol. Medicine, 2025)