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Dokyun Na
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2020 – today
- 2024
- [j14]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
Autoinhibited Protein Database: a curated database of autoinhibitory domains and their autoinhibition mechanisms. Database J. Biol. Databases Curation 2024 (2024) - [j13]Daeahn Cho, Myeong-Sang Yu, Jeongyoon Shin, Jingyu Lee, Yubin Kim, Hoon-Chul Kang, Se Hee Kim, Dokyun Na
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. 24-S(2): 149 (2024) - 2023
- [j12]Bilal Shaker, Jingyu Lee, Yunhyeok Lee, Myeong-Sang Yu, Hyang-Mi Lee, Eunee Lee, Hoon-Chul Kang
A machine learning-based quantitative model (LogBB_Pred) to predict the blood-brain barrier permeability (logBB value) of drug compounds. Bioinform. 39(10) (2023) - 2022
- [j11]Joo-Seong Oh, Hyithaek Ceong, Dokyun Na, Chungoo Park
A machine learning model for classifying G-protein-coupled receptors as agonists or antagonists. BMC Bioinform. 23-S(9): 346 (2022) - 2021
- [j10]Bilal Shaker, Myeong-Sang Yu, Jin Sook Song, Sunjoo Ahn, Jae Yong Ryu, Kwang-Seok Oh
LightBBB: computational prediction model of blood-brain-barrier penetration based on LightGBM. Bioinform. 37(8): 1135-1139 (2021) - [j9]Sung-Gwon Lee
Comparability of reference-based and reference-free transcriptome analysis approaches at the gene expression level. BMC Bioinform. 22-S(11): 310 (2021) - [j8]Bilal Shaker, Sajjad Ahmad, Jingyu Lee
In silico methods and tools for drug discovery. Comput. Biol. Medicine 137: 104851 (2021) - 2020
- [j7]Myeong-Sang Yu, Jingyu Lee, Yongmin Lee, Dokyun Na:
2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor. BMC Bioinform. 21-S(5): 245 (2020)
2010 – 2019
- 2019
- [j6]Hyang-Mi Lee, Myeong-Sang Yu, Sayada Reemsha Kazmi, Seong Yun Oh, Ki-Hyeong Rhee, Myung-Ae Bae, Byung Ho Lee, Dae-Seop Shin
Computational determination of hERG-related cardiotoxicity of drug candidates. BMC Bioinform. 20-S(10): 67-73 (2019) - [j5]Sayada Reemsha Kazmi, Ren Jun, Myeong-Sang Yu, Chanjin Jung, Dokyun Na:
In silico approaches and tools for the prediction of drug metabolism and fate: A review. Comput. Biol. Medicine 106: 54-64 (2019) - 2018
- [j4]Myeong-Sang Yu, Hyang-Mi Lee, Aaron Park, Chungoo Park, Hyithaek Ceong, Ki-Hyeong Rhee, Dokyun Na:
In silico prediction of potential chemical reactions mediated by human enzymes. BMC Bioinform. 19-S(8): 29-37 (2018) - 2015
- [c5]Myeong-Sang Yu, Dokyun Na:
Evaluation of Disease-Associated Text-Mining Databases. DTMBIO@CIKM 2015: 20 - 2013
- [j3]Eric T. C. Wong, Dokyun Na, Jörg Gsponer:
On the Importance of Polar Interactions for Complexes Containing Intrinsically Disordered Proteins. PLoS Comput. Biol. 9(8) (2013) - 2010
- [j2]Dokyun Na
RBSDesigner: software for designing synthetic ribosome binding sites that yields a desired level of protein expression. Bioinform. 26(20): 2633-2634 (2010) - [j1]Dokyun Na
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. 4: 71 (2010)
2000 – 2009
- 2005
- [c4]Dokyun Na
Mathematical Modeling of Immune Suppression. ICARIS 2005: 182-192 - [c3]Inho Park, Dokyun Na
Fuzzy Continuous Petri Net-Based Approach for Modeling Helper T Cell Differentiation. ICARIS 2005: 331-338 - [c2]Inho Park, Dokyun Na
Fuzzy Continuous Petri Net-Based Approach for Modeling Immune Systems. WIRN/NAIS 2005: 278-285 - 2004
- [c1]Dokyun Na
Integration of Immune Models Using Petri Nets. ICARIS 2004: 205-216
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