Hojung Nam

Orcid: 0000-0002-5109-9114

According to our database1, Hojung Nam authored at least 30 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
LOGICS: Learning optimal generative distribution for designing de novo chemical structures.
J. Cheminformatics, December, 2023

2022
Sequence-based prediction of protein binding regions and drug-target interactions.
J. Cheminformatics, 2022

DeSIDE-DDI: interpretable prediction of drug-drug interactions using drug-induced gene expressions.
J. Cheminformatics, 2022

Infusing Linguistic Knowledge of SMILES into Chemical Language Models.
CoRR, 2022

BayeshERG: a robust, reliable and interpretable deep learning model for predicting hERG channel blockers.
Briefings Bioinform., 2022

2021
HiDRA: Hierarchical Network for Drug Response Prediction with Attention.
J. Chem. Inf. Model., 2021

2020
hERG-Att: Self-attention-based deep neural network for predicting hERG blockers.
Comput. Biol. Chem., 2020

Prediction model construction of mouse stem cell pluripotency using CpG and non-CpG DNA methylation markers.
BMC Bioinform., 2020

DTMBIO 2020: The Fourteenth International Workshop on Data and Text Mining in Biomedical Informatics.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences.
PLoS Comput. Biol., 2019

Drug repositioning of herbal compounds via a machine-learning approach.
BMC Bioinform., 2019

2018
Predicting the Absorption Potential of Chemical Compounds Through a Deep Learning Approach.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Identification of drug-target interaction by a random walk with restart method on an interactome network.
BMC Bioinform., 2018

A Data-Driven Approach for Identifying Medicinal Combinations of Natural Products.
IEEE Access, 2018

2017
Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints.
BMC Bioinform., 2017

In Silico Simulation of Signal Cascades in Biomedical Networks Based on the Production Rule System.
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017

2016
Prognostic factor analysis for breast cancer using gene expression profiles.
BMC Medical Informatics Decis. Mak., 2016

Prediction of compound-target interactions of natural products using large-scale drug and protein information.
BMC Bioinform., 2016

2015
Identification of genomic features in the classification of loss- and gain-of-function mutation.
BMC Medical Informatics Decis. Mak., 2015

SoloDel: a probabilistic model for detecting low-frequent somatic deletions from unmatched sequencing data.
Bioinform., 2015

Toxicity Predictions using Compound Descriptions.
Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics, 2015

Prediction of Compound-Target Interactions of Natural Products Using Large-scale Drug and Protein Information.
Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics, 2015

2014
A Systems Approach to Predict Oncometabolites via Context-Specific Genome-Scale Metabolic Networks.
PLoS Comput. Biol., 2014

Identification of Genomic Features in the Classification of Loss- and Gain-of-Function Mutation: [Extended Abstract].
Proceedings of the ACM 8th International Workshop on Data and Text Mining in Bioinformatics, 2014

Identification of a Specific Base Sequence of Pathogenic E. Coli through a Genomic Analysis.
Proceedings of the ACM 8th International Workshop on Data and Text Mining in Bioinformatics, 2014

Integrative Database for Exploring Compound Combinations of Natural Products for Medical Effects.
Proceedings of the ACM 8th International Workshop on Data and Text Mining in Bioinformatics, 2014

2011
Exploring molecular links between lymph node invasion and cancer prognosis in human breast cancer.
BMC Syst. Biol., 2011

2009
Identification of temporal association rules from time-series microarray data sets.
BMC Bioinform., 2009

Combining tissue transcriptomics and urine metabolomics for breast cancer biomarker identification.
Bioinform., 2009

2008
Identification of temporal association rules from time-series microarray data set: temporal association rules.
Proceedings of the Proceeding of the 2nd International Workshop on Data and Text Mining in Bioinformatics, 2008


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