Hojung Nam

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 10

Top Topics

Angiotensin Converting Enzyme

Gene Expression

Top Venues

Journal of cheminformatics

BMC bioinformatics

PLoS computational biology

This page only lists publications with an associated author ORCID identifier.

Publications

Ingoo Lee, Hojung Nam
Sequence-based prediction of protein binding regions and drug-target interactions. Journal of 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 in bioinformatics 23 (4) (2022)
Haelee Bae, Hojung Nam
GraphATT-DTA: Attention-Based Novel Representation of Interaction to Predict Drug-Target Binding Affinity. Biomedicines 11 (1) (2022)
Songyeon Lee, Byung-Joon Seung, In Seok Yang, Jueun Lee, Taewoong Ha, Hee-Myung Park, Jae-Ho Cheong, Sangwoo Kim, Jung-Hyang Sur, Geum-Sook Hwang, Hojung Nam
1 H NMR based urinary metabolites profiling dataset of canine mammary tumors. Scientific data 9 (1) (2022)
Hansol Lee, Songyeon Lee, Ingoo Lee, Hojung Nam
AMP-BERT: Prediction of Antimicrobial Peptide Function Based on a BERT Model. Protein science : a publication of the Protein Society (2022)
Haelee Bae, Hojung Nam
GraphATT-DTA: Attention-Based Novel Representation of Interaction to Predict Drug-Target Binding Affinity. Biomedicines 11 (1) (2022)
Eunyoung Kim, Hojung Nam
DeSIDE-DDI: interpretable prediction of drug-drug interactions using drug-induced gene expressions. Journal of cheminformatics 14 (1) (2022)
Iljung Jin, Hojung Nam
HiDRA: Hierarchical Network for Drug Response Prediction with Attention. Journal of chemical information and modeling 61 (8) (2021)
Soobok Joe, Hojung Nam
Prediction model construction of mouse stem cell pluripotency using CpG and non-CpG DNA methylation markers. BMC bioinformatics 21 (1) (2020)
Ingoo Lee, Jongsoo Keum, Hojung Nam
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences. PLoS computational biology 15 (6) (2019)