KG-DFI: A Prediction of Drug–Food Interactions Based on Knowledge Graph Embedding 

Computational and Structural Biotechnology Journal, vol. 35, issue 1, 2026

Mingi  Kang, Myoung Jin  Lee, and Sunyong  Yoo

Cross-Species Multitask Learning with Molecular and ADME Descriptors for Liver Microsomal Metabolic Stability

Computational and Structural Biotechnology Journal, vol. 35, issue 1, 2026

Subhin Seomun & Sunyong Yoo

DR.DEGMON: self-explainable deep neural network for drug-induced cell viability prediction incorporating differentially expressed genes and gene ontology

BMC Medical Genomics

Wootaek Lim, Jitae Kim, Songhyeon Kim, Hyunsu Bong, Kwang-Su Park & Minji Jeon

Benchmarking sequence-based and AlphaFold-based methods for pMHC-II binding core prediction: distinct strengths and consensus approaches

BMC Medical Genomics

Soobon Ko, Honglan Li, Hongeun Kim, Woong-Hee Shin, Junsu Ko & Yoonjoo Choi

Efficient differential latent network analysis: applications to colon cancer

BMC Medical Genomics 

Yewon Han & Lee Sael

Comparative analysis of regression algorithms for drug response prediction using GDSC dataset

BMC Research Note 

Soojung Ha, Juho Park & Kyuri Jo

Using word evolution to predict drug repurposing

BMC medical informatics and decision making 

Judita Preiss

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 and decision making 

Daeahn Cho, Myeong-Sang Yu, Jeongyoon Shin, Jingyu Lee, Yubin Kim, Hoon-Chul Kang, Se Hee Kim, Dokyun Na

RCC-Supporter: supporting renal cell carcinoma treatment decision-making using machine learning

BMC medical informatics and decision making 

Won Hoon Song, Meeyoung Park 

Analysis of REST binding sites with canonical and non-canonical motifs in human cell lines

BMC Medical Genomics 

Jaejoon Choi, Eunjung Alice Lee