IKKβ inhibitor identification: a multi-filter driven novel scaffold. - Shanthi Nagarajan; Hyunah Choo; Yong Seo Cho; Kye Jung Shin; Kwang-Seok Oh; Byung Lee; Ae Nim Pae (BMC Bioinform., 2010)

Complementary Resistive Switch (CRS) based smart sensor search engine. - Sang-Jin Lee; Kwang-Seok Oh; Yeon-Gyu Ahn; Kyoung-Rok Cho; Kamran Eshraghian (ISSNIP, 2013)

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)

DeepHIT: a deep learning framework for prediction of hERG-induced cardiotoxicity. - Jae Yong Ryu; Mi Young Lee; Jeong Hyun Lee; Byung Ho Lee; Kwang-Seok Oh (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)

PredMS: a random forest model for predicting metabolic stability of drug candidates in human liver microsomes. - Jae Yong Ryu; Jeong Hyun Lee; Byung Ho Lee; Jin Sook Song; Sunjoo Ahn; Kwang-Seok Oh (Bioinform., 2022)

ASIL-D Compliant Battery Monitoring IC with High Measurement Accuracy and Robust Communication. - Jong-Kyoung Lee; Sunsik Woo; Wooyoung Jeong; Kwang-Seok Oh; Donghyeon Kim; Youngwoon Ko; Jinyong Jeon; Jooho Lee; Young-Suk Son; Sang-Gug Lee 001; Kyeongha Kwon (ISSCC, 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., 2023)

PredAOT: a computational framework for prediction of acute oral toxicity based on multiple random forest models. - Jae Yong Ryu; Woo Dae Jang; Jidon Jang; Kwang-Seok Oh (BMC Bioinform., 2023)

Accurate prediction of protein-ligand interactions by combining physical energy functions and graph-neural networks. - Yiyu Hong; Junsu Ha; Jaemin Sim; Chae Jo Lim; Kwang-Seok Oh; Ramakrishnan Chandrasekaran; Bomin Kim; Jieun Choi; Junsu Ko; Woong-Hee Shin; Juyong Lee (J. Cheminformatics, 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)