Dokyun Na

According to our database, Dokyun Na authored at least 17 papers between 2004 and 2023.

Collaborative distances:

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

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

2022

A machine learning model for classifying G-protein-coupled receptors as agonists or antagonists.

Joo-Seong Oh, Hyithaek Ceong, Dokyun Na, Chungoo Park

BMC Bioinform., 2022

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

Comparability of reference-based and reference-free transcriptome analysis approaches at the gene expression level.

Sung-Gwon Lee, Dokyun Na, Chungoo Park

BMC Bioinform., 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

2020

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

2019

<i>In silico</i> 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

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

2018

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

2015

Evaluation of Disease-Associated Text-Mining Databases.

Myeong-Sang Yu, Dokyun Na

Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics, 2015

2013

On the Importance of Polar Interactions for Complexes Containing Intrinsically Disordered Proteins.

Eric T. C. Wong, Dokyun Na, Jörg Gsponer

PLoS Comput. Biol., 2013

2010

Mathematical modeling of translation initiation for the estimation of its efficiency to computationally design mRNA sequences with desired expression levels in prokaryotes.

Dokyun Na, Sunjae Lee, Doheon Lee

BMC Syst. Biol., 2010

<i>RBSDesigner</i>: software for designing synthetic ribosome binding sites that yields a desired level of protein expression.

Dokyun Na, Doheon Lee

Bioinform., 2010

2005

Fuzzy Continuous Petri Net-Based Approach for Modeling Immune Systems.

Inho Park, Dokyun Na, Doheon Lee, Kwang Hyung Lee

Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005

Fuzzy Continuous Petri Net-Based Approach for Modeling Helper T Cell Differentiation.

Inho Park, Dokyun Na, Kwang Hyung Lee, Doheon Lee

Proceedings of the Artificial Immune Systems: 4th International Conference, 2005

Mathematical Modeling of Immune Suppression.

Dokyun Na, Doheon Lee

Proceedings of the Artificial Immune Systems: 4th International Conference, 2005

2004

Integration of Immune Models Using Petri Nets.

Dokyun Na, Inho Park, Kwang Hyung Lee, Doheon Lee

Proceedings of the Artificial Immune Systems, Third International Conference, 2004