| 1 | 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 |
| 2 | A Deep Learning Method for Prediction of Drug-Drug and Drug-Food Interactions 류재용; 김현욱; 구창대; 이상엽, 2019 한국생물공학회 추계학술발표대회 및 국제심포지엄, 한국생물공학회, 2019-10-11 |
| 3 | 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 |
| 4 | A novel computational approach to predict metabolites associated with somatic mutations in cancers 이상미; 이가령; 이성영; 송효진; 윤홍석; 고영일; 김현욱, 2022 한국생물공학회 추계학술발표대회 및 국제심포지엄, 한국생물공학회, 2022-09-29 |
| 5 | A simple, but powerful machine learning method for efficient processing of chemical structures Chen, Shu-An; 김현욱, 한국화학공학회 2019년도 가을 총회 및 학술대회, 한국화학공학회, 2019-10-25 |
| 6 | A systems biology approach to discovery and development of secondary metabolites 김현욱, The 13th KSMB Annual Meeting & Symposium, 2017, 한국해양바이오학회, 2017-11-24 |
| 7 | A systems biology approach to discovery and production of secondary metabolites 김현욱, 2018 한국공업화학회 춘계 총회 및 학술대회, 한국공업화학회, 2018-05-03 |
| 8 | A systems biology approach to human metabolism studies and drug discovery 김현욱, The 5th Symposium of Catholic University Liver Research Center, 가톨릭대학교 간 연구소, 2017-12-09 |
| 9 | A systems biology approach to understanding and engineering of microbial cell factories 김현욱, 2018 C1 가스 리파이너리 심포지움, C1 가스 리파이너리 사업단, 2018-07-05 |
| 10 | (A) kernel decomposition architecture for binary-weight convolutional neural networks = 바이너리 웨이트 CNN을 위한 커널 분리 구조link Kim, Hyeonuk; Kim, Lee-Sup; et al, 한국과학기술원, 2017 |
| 11 | Advanced drug-drug interaction prediction using deep learning to prevent adverse effect of Paxlovid 김예지; 류재용; 김현욱; 유태호; 이상엽, 2023 KSBB Fall Meeting and International Symposium, 한국생물공학회, 2023-10-06 |
| 12 | Application of flux-coupled genes in flux balance analysis Lee, Sang Yup; Ryu, Jae Yong; 김현욱; Kim, Won Jun, Annual Fall meeting of KIChE 2013, 한국화학공학회, 2013-10 |
| 13 | Application of genome-scale metabolic models for the prediction of drug targets for cancers and COVID-19 = 암 및 코로나바이러스 감염증의 약물 표적 예측을 위한 대사 컴퓨터 모델 적용link Sung, Yoo Jin; Kim, Hyun Uk; et al, 한국과학기술원, 2023 |
| 14 | Application of systems biology approaches for accelerated metabolic engineering 김현욱, KMB 2023 Annual Meeting & International Symposium, 한국미생물·생명공학회, 2023-06-23 |
| 15 | Assessment of Escherichia coli Metabolism Using Bayesian Network Analysis and Constraints-Based Flux Analysis 김현욱; 김태용; Lee, SangYup, The 7th International Conference of Korean Society for Bioinformatics (KSBI), The 7th International Conference of Korean Society for Bioinformatics (KSBI), 2006-09 |
| 16 | Automated prediction of organic reaction products based on machine learning = 기계학습을 이용한 자동화된 유기반응 예측link Kim, Juhwan; 김주환; et al, 한국과학기술원, 2023 |
| 17 | Bio-based Production of Multiple Short-chain Primary Amines via Retrobiosynthesis 채동언; 김동인; 김현욱; 장우대; 이상엽, 2023 한국생물공학회 춘계학술발표대회 및 국제심포지엄, 한국생물공학회, 2023-04-14 |
| 18 | Bio-based production of various short-chain primary amines using retrobiosynthetic approach Alisher Nazarbekov; 김동인; 채동언; 김현욱; 장우대; 이상엽, 2023 KIChE Fall Meeting and International Symposium, 한국화학공학회, 2023-10-26 |
| 19 | Biosynthesis of multiple short-chain primary amines based on retrobiosynthetic apporach 류가현; 이상엽; 김동인; 채동언; 김현욱; 장우대, 2022 한국생물공학회 춘계학술발표대회 및 국제심포지엄, 한국생물공학회, 2022-04-15 |
| 20 | Biosynthesis of multiple short-chain primary amines based on retrobiosynthetic approach 채동언; 김동인; 김현욱; 장우대; 이상엽, 2021 KSBB Fall Meeting and International Symposium, 한국생물공학회, 2021-10-06 |
| 21 | Biosynthesis of various short-chain primary amines through retrobiosynthesis 김동인; 채동언; 김현욱; 장우대; 장규동; 이상엽, 2023 International Meeting of the Microbiological Society of Korea, 한국미생물학회, 2023-10-27 |
| 22 | Characterization and engineering of microbial metabolism using deep learning 김현욱, 2021 KSBB Fall Meeting and International Symposium, 한국생물공학회, 2021-10-08 |
| 23 | Computational analysis for drug response prediction and drug repositioning = 약물 반응 예측 및 약물 재창출을 위한 바이오 빅데이터 분석link Hong, Eujin; 홍유진; et al, 한국과학기술원, 2023 |
| 24 | Computational platform technologies for better understanding genotype-phenotype associations 김현욱, 2018 한국생물공학회 추계학술대회, 한국생물공학회, 2018-10-11 |
| 25 | Computational platform technologies for drug discovery and development 김현욱, 제1회 인공지능 기반 신약개발 심포지움, KAIST, KI4AI and Chemistry, 2018-08-22 |
| 26 | Computational platform technologies for effective management of chronic diseases 김현욱, 2020 한국바이오칩학회 추계학술대회, 한국바이오칩학회, 2020-11-26 |
| 27 | Computational platform technologies for modeling drug interaction and cancer metabolism 김현욱, KAIST BBE Webinar on Digital Therapeutics (바이오의료공학의 디지털 미래), KAIST 바이오및뇌공학과, 2021-05-28 |
| 28 | Computational platform technologies for novel antibiotics discovery 김현욱, 한국미생물학회연합 학술대회, 한국미생물학회연합, 2018-10-12 |
| 29 | Computational platform technologies for the enhanced biological productions 김현욱, 한국화학공학회 2019년도 가을 총회 및 학술대회, 한국화학공학회, 2019-10-25 |
| 30 | Computational platform technologies for understanding and engineering secondary metabolism 김현욱, 2019년 한국미생물·생명공학회 국제학술대회 및 정기학술대회, 한국미생물생명공학회, 2019-06-24 |
| 31 | Computational workflow predicting metabolites associated with somatic mutation in cancers by using a genome-scale metabolic model 이가령; 이상미; 이성영; 송효진; 윤홍석; 고영일; 김현욱, BIOINFO 2022, 한국생명정보학회, 2022-10-20 |
| 32 | Contribution of the Amino Acids Complex Medium to the Proteinogenic Amino Acids for in vivo Metabolic Flux Analysis 김현욱; 최한솔; Lee, SangYup, 2006 Annual Meeting and International Symposium(KMB), 2006 Annual Meeting and International Symposium(KMB), 2006-06 |
| 33 | Corynebacterium glutamicum의 대사공학을 통한 베타-알라닌 생산성 향상 Ghiffary, Mohammad Rifqi; Prabowo, Cindy Pricilia Surya; Adidjaja, Joshua Julio; 이상엽; 김현욱, 한국화학공학회 2022년도 가을 총회 및 국제 학술대회, 한국화학공학회, 2022-10-27 |
| 34 | Deciphering fermentative metabolism of Mannheimia succiniciproducens MBEL55E by genome-scale constraints-base flux analysis 김태용; Song, H.; 김현욱; Park, J.M.; Lee, SangYup, European BioPerspectives celebrating the 25th DECHEMA annual convention of biotechnologists, European BioPerspectives celebrating the 25th DECHEMA annual convention of biotechnologists, 2007-05-30 |
| 35 | Deciphering Metabolic Flux of Mannheimia succiniciproducens MBEL55E by Genome-scale Constrains-based Flux Analysis 김태용; 김현욱; 박종민; Song, H.; Lee, SangYup, 29th symposium on Biotechnology for Fuels and Chemicals, 29th symposium on Biotechnology for Fuels and Chemicals, 2007-04-29 |
| 36 | Deep learning approach for enzymatic reaction feasibility evaluation 김예지; 류재용; 김현욱; 장우대; 류가현; 이상엽, 2023 한국생물공학회 춘계학술발표대회 및 국제심포지엄, 한국생물공학회, 2023-04-14 |
| 37 | Deep learning approach for high-quality and high-throughput enzyme commission number prediction 류가현; 이상엽; 류재용; 김현욱, 2022 한국생물공학회 춘계학술발표대회 및 국제심포지엄, 한국생물공학회, 2022-04-15 |
| 38 | Deep Learning Enables Prediction of Drug-drug and Drug-food Interactions 김기배; 류재용; 김현욱; 이상엽, 2020년 한국생물공학회 춘계학술발표대회 및 국제심포지엄, 한국생물공학회, 2020-06-26 |
| 39 | DeepEC: a Computational Framework for Prediction of Enzyme Commission Numbers Using Deep Learning Method 류재용; 구창대; 김현욱; 이상엽, 2019 한국생물공학회 추계학술발표대회 및 국제심포지엄, 한국생물공학회, 2019-10-11 |
| 40 | Design and construction of novel metabolic pathways for short-chain primary amines via retrobiosynthesis 채동언; 김동인; 김현욱; 장우대; 이상엽, 2023 KSBB Fall Meeting and International Symposium, 한국생물공학회, 2023-10-06 |
| 41 | Detection of adverse drug reaction signals from medical and molecular data by using machine learning 홍의진; 전준혁; 김현욱, 2023 한국생물공학회 춘계학술발표대회 및 국제심포지엄, 한국생물공학회, 2023-04-13 |
| 42 | Development of a BioBERT-based model for the reconstruction of gene-protein-reaction associations 김민지; 이병태; 김현욱, 2022 한국생물공학회 추계학술발표대회 및 국제심포지엄, 한국생물공학회, 2022-09-30 |
| 43 | Development of a computational framework for extracting biological pathway information from literature 이준규; 권문수; 김현욱, 2023 한국생물공학회 춘계학술발표대회 및 국제심포지엄, 한국생물공학회, 2023-04-14 |
| 44 | Development of a deep learning model for predicting adverse drug reaction using molecular feature of drug and medical data = 약물의 분자적 특성 및 의료 데이터 기반 약물이상반응 예측 딥 러닝 모델 개발link Bae, Sung Han; 배성한; et al, 한국과학기술원, 2023 |
| 45 | Development of a deep learning model for predicting the effects of cultivation condition on gene expression levels in Escherichia coli 권문수; ADIDJAJA, Joshua Julio; 김현욱, 2021 KSBB Fall Meeting and International Symposium, 한국생물공학회, 2021-10-07 |
| 46 | Development of a deep learning model for predicting the effects of microbial culture media on gene expression levels = 미생물 배양 배지 조건을 고려한 유전자 조절 예측 딥러닝 모델의 개발link Kwon, Mun Su; 권문수; et al, 한국과학기술원, 2021 |
| 47 | Development of a deep learning model for predicting the effects of small molecules on gene expression levels = 저분자 화합물에 대한 유전자 발현 수준 변화를 예측하는 딥러닝 모델 개발link Jeon, Junhyeok; 전준혁; et al, 한국과학기술원, 2021 |
| 48 | Development of a Deep Learning-based Framework for the Prediction of Enzyme Commission Numbers 류재용; 김현욱; 김기배; 이상엽, 2023 한국생물공학회 춘계학술발표대회 및 국제심포지엄, 한국생물공학회, 2023-04-14 |
| 49 | Development of a Deep Learning-based Framework for the Prediction of Enzyme Commission Numbers 류재용; 김현욱; 김기배; 이상엽, 2023 한국생물공학회 춘계학술발표대회 및 국제심포지엄, 한국생물공학회, 2023-04-14 |
| 50 | Development of a transformer model for the reconstruction of gene-protein-reaction associations 김민지; 이병태; 김현욱, 한국화학공학회 2023년도 봄 총회 및 학술대회, 한국화학공학회, 2023-04-21 |
| 51 | Development of Corynebacterium glutamicum as a platform strain for the enhanced production of non-ribosomal peptides and polyketides = 비리보솜 펩타이드 및 폴리케타이드 생산 증가를 위한 코리네박테리움 균주 개발link Ghiffary, Mohammad Rifqi; Kim, Hyun Uk; et al, 한국과학기술원, 2023 |
| 52 | Development of genome-scale metabolic models and a deep learning model for predicting bacterial genes with significant changes in expression levels = 박테리아 유전자의 발현량 변화 예측을 위한 게놈 수준의 대사모델 및 딥러닝 모델 개발link Adidjaja, Joshua Julio; 아디자자 조슈아 줄리오; et al, 한국과학기술원, 2022 |
| 53 | Development of oviedomycin high producer strain in Streptomyces coelicolor M1152 구본철; 김민지; 김현욱; 오민규, 2023 한국생물공학회 춘계학술발표대회 및 국제심포지엄, 한국생물공학회, 2023-04-14 |
| 54 | Discovering the learning process of artificial neural networks for morgan fingerprints = 인공신경망의 Morgan Fingerprint 학습 과정 이해link Chen, Shuan; Kim, Hyun Uk; et al, 한국과학기술원, 2020 |
| 55 | Efficient production of a natural blue pigment indigoidine using metabolically engineered Corynebacterium glutamicum for sustainable fabric dyes Ghiffary, Mohammad Rifqi; SHARMA, Komal; Prabowo, Cindy Pricilia Surya; 김현욱; 이상엽, 2021 KIChE Spring Meeting, 한국화학공학회, 2021-04-23 |
| 56 | Efficient production of valuable compounds using genome-wide identification of overexpression and downregulation gene targets 이영준; 김원준; 김현욱; 류재용; 양정은; 이상엽, 2023 KSBB Fall Meeting and International Symposium, 한국생물공학회, 2023-10-06 |
| 57 | Efficient production of β-alanine using metabolically engineered Corynebacterium glutamicum Ghiffary, Mohammad Rifqi; Adidjaja, Joshua Julio; 김현욱, 한국화학공학회 2022년도 봄 총회 및 학술대회, 한국화학공학회, 2022-04-21 |
| 58 | Electrocatalyst design for NO3- and CO2 reduction : a machine learning and density functional theory approach = 기계학습과 밀도범함수이론 방법론을 이용한 CO2 및 NO3- 전기화학적 환원 반응 촉매설계link Kang, Woojong; 강우종; et al, 한국과학기술원, 2023 |
| 59 | Evaluation of basis parameters for SSI analysis of shallow foundation via centrifuge test and analytical approachlink Kim, Hyun-Uk; Cho, Gye-Chun; et al, 2021 |
| 60 | Evaluation of multiple methods for the template-based modeling of protein structures 이상미; 장우대; 이상엽; 김현욱, 2021 KIChE Spring Meeting, 한국화학공학회, 2021-04-23 |
