Dokyun Na

18 papers Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
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
Jihun Kim, Bilal Shaker, Ara Ko, Sunggon Yoo, Dokyun Na, Hoon-Chul Kang
2025 J jnl
hERGBoost: A gradient boosting model for quantitative IC50 prediction of hERG channel blockers.
Comput. Biol. Medicine
Myeong-Sang Yu, Jingyu Lee, Yunhyeok Lee, Daeahn Cho, Kwang-Seok Oh, Jidon Jang, Nuong Thi Nong, Hyang-Mi Lee, Dokyun Na
2024 J jnl
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.
Daeahn Cho, Myeong-Sang Yu, Jeongyoon Shin, Jingyu Lee, Yubin Kim, Hoon-Chul Kang, Se Hee Kim, Dokyun Na
2024 J jnl
Autoinhibited Protein Database: a curated database of autoinhibitory domains and their autoinhibition mechanisms.
Database J. Biol. Databases Curation
Daeahn Cho, Hyang-Mi Lee, Ji Ah Kim, Jae Gwang Song, Su-hee Hwang, Bomi Lee, Jinsil Park, Kha Mong Tran, Jiwon Kim, Phuong Ngoc Lam Vo, Jooeun Bae, Teerapat Pimt, Kangseok Lee, Jörg Gsponer, Hyung Wook Kim, Dokyun Na
2023 J jnl
A machine learning-based quantitative model (LogBB_Pred) to predict the blood-brain barrier permeability (logBB value) of drug compounds.
Bioinform.
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
2022 J jnl
A machine learning model for classifying G-protein-coupled receptors as agonists or antagonists.
BMC Bioinform.
Joo-Seong Oh, Hyithaek Ceong, Dokyun Na, Chungoo Park
2021 J jnl
Comparability of reference-based and reference-free transcriptome analysis approaches at the gene expression level.
BMC Bioinform.
Sung-Gwon Lee, Dokyun Na, Chungoo Park
2021 J jnl
LightBBB: computational prediction model of blood-brain-barrier penetration based on LightGBM.
Bioinform.
Bilal Shaker, Myeong-Sang Yu, Jin Sook Song, Sunjoo Ahn, Jae Yong Ryu, Kwang-Seok Oh, Dokyun Na
2020 J jnl
2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor.
BMC Bioinform.
Myeong-Sang Yu, Jingyu Lee, Yongmin Lee, Dokyun Na
2019 J jnl
Computational determination of hERG-related cardiotoxicity of drug candidates.
BMC Bioinform.
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
2018 J jnl
In silico prediction of potential chemical reactions mediated by human enzymes.
BMC Bioinform.
Myeong-Sang Yu, Hyang-Mi Lee, Aaron Park, Chungoo Park, Hyithaek Ceong, Ki-Hyeong Rhee, Dokyun Na
2015 — conf
Evaluation of Disease-Associated Text-Mining Databases.
DTMBIO@CIKM
Myeong-Sang Yu, Dokyun Na
2013 J jnl
On the Importance of Polar Interactions for Complexes Containing Intrinsically Disordered Proteins.
PLoS Comput. Biol.
Eric T. C. Wong, Dokyun Na, Jörg Gsponer
2010 J jnl
Mathematical modeling of translation initiation for the estimation of its efficiency to computationally design mRNA sequences with desired expression levels in prokaryotes.
BMC Syst. Biol.
Dokyun Na, Sunjae Lee, Doheon Lee
2005 — conf
Fuzzy Continuous Petri Net-Based Approach for Modeling Helper T Cell Differentiation.
ICARIS
Inho Park, Dokyun Na, Kwang Hyung Lee, Doheon Lee
2005 — conf
Fuzzy Continuous Petri Net-Based Approach for Modeling Immune Systems.
WIRN/NAIS
Inho Park, Dokyun Na, Doheon Lee, Kwang Hyung Lee
2005 — conf
Mathematical Modeling of Immune Suppression.
ICARIS
Dokyun Na, Doheon Lee
2004 — conf
Integration of Immune Models Using Petri Nets.
ICARIS
Dokyun Na, Inho Park, Kwang Hyung Lee, Doheon Lee