Hojung Nam

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 19

Top Topics

Gene Expression

Metabolic Networks

Top Venues

J. Cheminformatics

Publications

Bongsung Bae, Haelee Bae, Hojung Nam
LOGICS: Learning optimal generative distribution for designing de novo chemical structures. J. Cheminformatics 15 (1) (2023)
Ingoo Lee, Hojung Nam
Infusing Linguistic Knowledge of SMILES into Chemical Language Models. CoRR (2022)
Eunyoung Kim, Hojung Nam
DeSIDE-DDI: interpretable prediction of drug-drug interactions using drug-induced gene expressions. J. Cheminformatics 14 (1) (2022)
Hyunho Kim, Minsu Park, Ingoo Lee, Hojung Nam
BayeshERG: a robust, reliable and interpretable deep learning model for predicting hERG channel blockers. Briefings Bioinform. 23 (4) (2022)
Ingoo Lee, Hojung Nam
Sequence-based prediction of protein binding regions and drug-target interactions. J. Cheminformatics 14 (1) (2022)
Iljung Jin, Hojung Nam
HiDRA: Hierarchical Network for Drug Response Prediction with Attention. J. Chem. Inf. Model. 61 (8) (2021)
Hyojung Paik, Sunyong Yoo, Hojung Nam, Mark Stevenson, Albert No
DTMBIO 2020: The Fourteenth International Workshop on Data and Text Mining in Biomedical Informatics. CIKM (2020)
Hyunho Kim, Hojung Nam
hERG-Att: Self-attention-based deep neural network for predicting hERG blockers. Comput. Biol. Chem. 87 (2020)
Soobok Joe, Hojung Nam
Prediction model construction of mouse stem cell pluripotency using CpG and non-CpG DNA methylation markers. BMC Bioinform. 21 (1) (2020)
Eunyoung Kim, A.-Sol Choi, Hojung Nam
Drug repositioning of herbal compounds via a machine-learning approach. BMC Bioinform. (10) (2019)
Ingoo Lee, Jongsoo Keum, Hojung Nam
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences. PLoS Comput. Biol. 15 (6) (2019)
Moonshik Shin, Donjin Jang, Hojung Nam, Kwang Hyung Lee, Doheon Lee
Predicting the Absorption Potential of Chemical Compounds Through a Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (2) (2018)
Ingoo Lee, Jongsoo Keum, Hojung Nam
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences. CoRR (2018)
Ingoo Lee, Hojung Nam
Identification of drug-target interaction by a random walk with restart method on an interactome network. BMC Bioinform. (8) (2018)
Sunyong Yoo, Suhyun Ha, Moonshik Shin, Kyungrin Noh, Hojung Nam, Doheon Lee
A Data-Driven Approach for Identifying Medicinal Combinations of Natural Products. IEEE Access 6 (2018)
Sangwoo Kim, Hojung Nam
In Silico Simulation of Signal Cascades in Biomedical Networks Based on the Production Rule System. ISBRA (2017)
Eunyoung Kim, Hojung Nam
Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints. BMC Bioinform. 18 (7) (2017)
Jongsoo Keum, Sunyong Yoo, Doheon Lee, Hojung Nam
Prediction of compound-target interactions of natural products using large-scale drug and protein information. BMC Bioinform. 17 (S-6) (2016)
Soobok Joe, Hojung Nam
Prognostic factor analysis for breast cancer using gene expression profiles. BMC Medical Informatics Decis. Mak. 16 (S-1) (2016)
Junho Kim, Sanghyeon Kim, Hojung Nam, Sangwoo Kim, Doheon Lee
SoloDel: a probabilistic model for detecting low-frequent somatic deletions from unmatched sequencing data. Bioinform. 31 (19) (2015)
Eunyoung Kim, Sangwoo Kim, Suhyun Ha, Hojung Nam
Toxicity Predictions using Compound Descriptions. DTMBIO@CIKM (2015)
Soobok Joe, Hojung Nam
Prognostic Factor Analysis for Breast Cancer Using Gene Expression Profiles. DTMBIO@CIKM (2015)
Seunghwan Jung, Sejoon Lee, Sangwoo Kim, Hojung Nam
Identification of genomic features in the classification of loss- and gain-of-function mutation. BMC Medical Informatics Decis. Mak. 15 (S-1) (2015)
Jongsoo Keum, Sunyong Yoo, Hojung Nam
Prediction of Compound-Target Interactions of Natural Products Using Large-scale Drug and Protein Information. DTMBIO@CIKM (2015)
Seunghwan Jung, Sejoon Lee, Sangwoo Kim, Hojung Nam
Identification of Genomic Features in the Classification of Loss- and Gain-of-Function Mutation: [Extended Abstract]. DTMBIO@CIKM (2014)
Soobok Joe, Hojung Nam
Identification of a Specific Base Sequence of Pathogenic E. Coli through a Genomic Analysis. DTMBIO@CIKM (2014)
Hojung Nam, Miguel Campodonico, Aarash Bordbar, Daniel R. Hyduke, Sangwoo Kim, Daniel C. Zielinski, Bernhard O. Palsson
A Systems Approach to Predict Oncometabolites via Context-Specific Genome-Scale Metabolic Networks. PLoS Comput. Biol. 10 (9) (2014)
Suhyun Ha, Sunyong Yoo, Moonshik Shin, Jin Sook Kwak, Oran Kwon, Min Chang Choi, Keon Wook Kang, Hojung Nam, Doheon Lee
Integrative Database for Exploring Compound Combinations of Natural Products for Medical Effects. DTMBIO@CIKM (2014)
Sangwoo Kim, Hojung Nam, Doheon Lee
Exploring molecular links between lymph node invasion and cancer prognosis in human breast cancer. BMC Syst. Biol. 5 (S-2) (2011)
Hojung Nam, Ki Young Lee, Doheon Lee
Identification of temporal association rules from time-series microarray data sets. BMC Bioinform. 10 (S-3) (2009)
Hojung Nam, Bong Chul Chung, Younghoon Kim, Ki Young Lee, Doheon Lee
Combining tissue transcriptomics and urine metabolomics for breast cancer biomarker identification. Bioinform. 25 (23) (2009)
Hojung Nam, Ki Young Lee, Doheon Lee
Identification of temporal association rules from time-series microarray data set: temporal association rules. DTMBIO (2008)