| 1 | A deep learning-based method DeepEC for high-quality and high-throughput prediction of enzyme commission numbers 김현욱, 제9회 한국효소공학연구회 동계심포지엄, 한국효소공학연구회, 2020-02-03 |
| 2 | A comprehensive comparative assessment of software programs for template-based modeling of protein structures: From sequence alignments to model building 장우대; 이상미; 이가령; 김현욱; 이상엽, The 16th International Conference on Bioinformatics (APBC/BIOINFO 2020), 한국생명정보학회, 2020-08-20 |
| 3 | Modeling metabolism and gene regulations of cancers using omics data 김현욱, The 16th International Conference on Bioinformatics (APBC/BIOINFO 2020), 한국생명정보학회, 2020-08-20 |
| 4 | Computational platform technologies for effective management of chronic diseases 김현욱, 2020 한국바이오칩학회 추계학술대회, 한국바이오칩학회, 2020-11-26 |
| 5 | Deep Learning Enables Prediction of Drug-drug and Drug-food Interactions 김기배; 류재용; 김현욱; 이상엽, 2020년 한국생물공학회 춘계학술발표대회 및 국제심포지엄, 한국생물공학회, 2020-06-26 |
| 6 | 바이오 빅데이터와 생명공학 김현욱, 2020 바이오미래포럼, 과학기술정보통신부, 2020-11-20 |
| 7 | Systems biology approaches for drug discovery and development 김현욱, Korea Digestive Disease Week (KDDW), 대한소화기내시경학회, 2020-11-20 |
| 8 | Systematic and comparative evaluation of methods for template-based modeling of protein structures 장우대; 이상미; 김현욱; 이상엽, 한국화학공학회 2020년도 가을 총회 및 학술대회, 한국화학공학회, 2020-10-15 |
| 9 | High-quality and High-throughput Prediction of Enzyme Commission Numbers based on Deep Learning Framework 김기배; 류재용; 김현욱; 이상엽, 2020년 한국생물공학회 춘계학술발표대회 및 국제심포지엄, 한국생물공학회, 2020-06-26 |
| 10 | Genomic and metabolic analysis of microbial cellulose producer 장우대; 김태용; 김현욱; 심우용; 류재용; 박진환; 이상엽, 한국화학공학회 2020년도 가을 총회 및 학술대회, 한국화학공학회, 2020-10-15 |
