Dokyun Na
Orcid: 0000-0002-9107-7040
According to our database1,
Dokyun Na
authored at least 19 papers
between 2004 and 2024.
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Bibliography
2024
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., April, 2024
Autoinhibited Protein Database: a curated database of autoinhibitory domains and their autoinhibition mechanisms.
Database J. Biol. Databases Curation, January, 2024
2023
A machine learning-based quantitative model (LogBB_Pred) to predict the blood-brain barrier permeability (logBB value) of drug compounds.
Bioinform., October, 2023
2022
A machine learning model for classifying G-protein-coupled receptors as agonists or antagonists.
BMC Bioinform., 2022
2021
Comparability of reference-based and reference-free transcriptome analysis approaches at the gene expression level.
BMC Bioinform., 2021
LightBBB: computational prediction model of blood-brain-barrier penetration based on LightGBM.
Bioinform., 2021
2020
2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor.
BMC Bioinform., 2020
2019
<i>In silico</i> approaches and tools for the prediction of drug metabolism and fate: A review.
Comput. Biol. Medicine, 2019
BMC Bioinform., 2019
2018
BMC Bioinform., 2018
2015
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.
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.
BMC Syst. Biol., 2010
<i>RBSDesigner</i>: software for designing synthetic ribosome binding sites that yields a desired level of protein expression.
Bioinform., 2010
2005
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005
Fuzzy Continuous Petri Net-Based Approach for Modeling Helper T Cell Differentiation.
Proceedings of the Artificial Immune Systems: 4th International Conference, 2005
Proceedings of the Artificial Immune Systems: 4th International Conference, 2005
2004
Proceedings of the Artificial Immune Systems, Third International Conference, 2004