| Current status and applications of genome-scale metabolic models C Gu, GB Kim, WJ Kim, HU Kim, SY Lee Genome biology 20, 1-18, 2019 | 592 | 2019 |
| Tools and strategies of systems metabolic engineering for the development of microbial cell factories for chemical production YS Ko, JW Kim, JA Lee, T Han, GB Kim, JE Park, SY Lee Chemical Society Reviews 49 (14), 4615-4636, 2020 | 308 | 2020 |
| Machine learning applications in systems metabolic engineering GB Kim, WJ Kim, HU Kim, SY Lee Current opinion in biotechnology 64, 1-9, 2020 | 143 | 2020 |
| Enhanced succinic acid production by Mannheimia employing optimal malate dehydrogenase JH Ahn, H Seo, W Park, J Seok, JA Lee, WJ Kim, GB Kim, KJ Kim, SY Lee Nature communications 11 (1), 1970, 2020 | 101 | 2020 |
| DeepTFactor: a deep learning-based tool for the prediction of transcription factors GB Kim, Y Gao, BO Palsson, SY Lee Proceedings of the National Academy of Sciences 118 (2), e2021171118, 2021 | 71 | 2021 |
| Designing microbial cell factories for the production of chemicals JS Cho, GB Kim, H Eun, CW Moon, SY Lee Jacs Au 2 (8), 1781-1799, 2022 | 69 | 2022 |
| Glutaric acid production by systems metabolic engineering of an l-lysine–overproducing Corynebacterium glutamicum T Han, GB Kim, SY Lee Proceedings of the National Academy of Sciences 117 (48), 30328-30334, 2020 | 68 | 2020 |
| Applications of artificial intelligence to enzyme and pathway design for metabolic engineering WD Jang, GB Kim, Y Kim, SY Lee Current Opinion in Biotechnology 73, 101-107, 2022 | 64 | 2022 |
| Metabolic engineering of Corynebacterium glutamicum for the production of glutaric acid, a C5 dicarboxylic acid platform chemical HT Kim, TU Khang, KA Baritugo, SM Hyun, KH Kang, SH Jung, BK Song, ... Metabolic engineering 51, 99-109, 2019 | 62 | 2019 |
| Machine learning applications in genome-scale metabolic modeling Y Kim, GB Kim, SY Lee Current Opinion in Systems Biology 25, 42-49, 2021 | 37 | 2021 |
| Synthetic formatotrophs for one‐carbon biorefinery J Bang, JH Ahn, JA Lee, CH Hwang, GB Kim, J Lee, SY Lee Advanced Science 8 (12), 2100199, 2021 | 23 | 2021 |
| Metabolic engineering for sustainability and health GB Kim, SY Choi, IJ Cho, DH Ahn, SY Lee Trends in Biotechnology 41 (3), 425-451, 2023 | 20 | 2023 |
| Functional annotation of enzyme-encoding genes using deep learning with transformer layers GB Kim, JY Kim, JA Lee, CJ Norsigian, BO Palsson, SY Lee Nature Communications 14 (1), 7370, 2023 | 13 | 2023 |
| An interactive metabolic map of bio-based chemicals WD Jang, GB Kim, SY Lee Trends in Biotechnology 41 (1), 10-14, 2023 | 12 | 2023 |
| Metabolic engineering of Mannheimia succiniciproducens for malic acid production using dimethylsulfoxide as an electron acceptor JA Lee, JH Ahn, GB Kim, S Choi, JY Kim, SY Lee Biotechnology and Bioengineering 120 (1), 203-215, 2023 | 5 | 2023 |
| Deep learning for metabolic pathway design G Ryu, GB Kim, T Yu, SY Lee Metabolic Engineering 80, 130-141, 2023 | 2 | 2023 |
| A microbial process for the production of benzyl acetate KR Choi, ZW Luo, GB Kim, H Xu, SY Lee Nature Chemical Engineering, 1-13, 2024 | 1 | 2024 |
| Sustainable Production of Glutaric Acid by Systems Metabolic Engineering of L-lysine Overproducing Corynebacterium glutamicum HAN Taehee, GB KIM, SY LEE 한국생물공학회 학술대회, 814-814, 2023 | | 2023 |
| Characterization and Engineering of Malate Dehydrogenase for Enhanced Succinic Acid Production JH AHN, SEO Hogyun, P Woojin, S Jihye, JA LEE, WJ KIM, GB KIM, ... 한국생물공학회 학술대회, 708-708, 2023 | | 2023 |
| DeepTFactor: a Deep Learning-based Tool for Transcription Factor Prediction GB KIM, GAO Ye, BO PALSSON, SY LEE 한국생물공학회 학술대회, 706-706, 2023 | | 2023 |
