| Deep learning improves prediction of drug–drug and drug–food interactions JY Ryu, HU Kim, SY Lee Proceedings of the national academy of sciences 115 (18), E4304-E4311, 2018 | 434 | 2018 |
| Deep learning enables high-quality and high-throughput prediction of enzyme commission numbers JY Ryu, HU Kim, SY Lee Proceedings of the National Academy of Sciences 116 (28), 13996-14001, 2019 | 196 | 2019 |
| A systems approach to traditional oriental medicine HU Kim, JY Ryu, JO Lee, SY Lee Nature biotechnology 33 (3), 264-268, 2015 | 128 | 2015 |
| LightBBB: computational prediction model of blood–brain-barrier penetration based on LightGBM B Shaker, MS Yu, JS Song, S Ahn, JY Ryu, KS Oh, D Na Bioinformatics 37 (8), 1135-1139, 2021 | 94 | 2021 |
| The miR-19a/b family positively regulates cardiomyocyte hypertrophy by targeting atrogin-1 and MuRF-1 DW Song, JY Ryu, JO Kim, EJ Kwon, DH Kim Biochemical Journal 457 (1), 151-162, 2014 | 86 | 2014 |
| Bacterial cellulose as an example product for sustainable production and consumption WD Jang, JH Hwang, HU Kim, JY Ryu, SY Lee Microbial Biotechnology 10 (5), 1181, 2017 | 71 | 2017 |
| Occurrence, evolution, and functions of DNA phosphorothioate epigenetics in bacteria T Tong, S Chen, L Wang, Y Tang, JY Ryu, S Jiang, X Wu, C Chen, J Luo, ... Proceedings of the National Academy of Sciences 115 (13), E2988-E2996, 2018 | 69 | 2018 |
| Reconstruction of genome-scale human metabolic models using omics data JY Ryu, HU Kim, SY Lee Integrative Biology 7 (8), 859-868, 2015 | 63 | 2015 |
| Genomic and metabolic analysis of Komagataeibacter xylinus DSM 2325 producing bacterial cellulose nanofiber WD Jang, TY Kim, HU Kim, WY Shim, JY Ryu, JH Park, SY Lee Biotechnology and Bioengineering 116 (12), 3372-3381, 2019 | 62 | 2019 |
| DeepHIT: a deep learning framework for prediction of hERG-induced cardiotoxicity JY Ryu, MY Lee, JH Lee, BH Lee, KS Oh Bioinformatics 36 (10), 3049-3055, 2020 | 61 | 2020 |
| Expanded synthetic small regulatory RNA expression platforms for rapid and multiplex gene expression knockdown D Yang, SM Yoo, C Gu, JY Ryu, JE Lee, SY Lee Metabolic engineering 54, 180-190, 2019 | 48 | 2019 |
| Reconstruction of context-specific genome-scale metabolic models using multiomics data to study metabolic rewiring JS Cho, C Gu, TH Han, JY Ryu, SY Lee Current Opinion in Systems Biology 15, 1-11, 2019 | 46 | 2019 |
| Production of ethylene glycol from xylose by metabolically engineered Escherichia coli TU Chae, SY Choi, JY Ryu, SY Lee AIChE Journal 64 (12), 4193-4200, 2018 | 38 | 2018 |
| Systems approach to characterize the metabolism of liver cancer stem cells expressing CD133 W Hur, JY Ryu, HU Kim, SW Hong, EB Lee, SY Lee, SK Yoon Scientific reports 7 (1), 45557, 2017 | 38 | 2017 |
| Framework and resource for more than 11,000 gene-transcript-protein-reaction associations in human metabolism JY Ryu, HU Kim, SY Lee Proceedings of the National Academy of Sciences 114 (45), E9740-E9749, 2017 | 36 | 2017 |
| PredMS: a random forest model for predicting metabolic stability of drug candidates in human liver microsomes JY Ryu, JH Lee, BH Lee, JS Song, S Ahn, KS Oh Bioinformatics 38 (2), 364-368, 2022 | 21 | 2022 |
| A deep learning approach to evaluate the feasibility of enzymatic reactions generated by retrobiosynthesis Y Kim, JY Ryu, HU Kim, WD Jang, SY Lee Biotechnology Journal 16 (5), 2000605, 2021 | 20 | 2021 |
| Human genes with a greater number of transcript variants tend to show biological features of housekeeping and essential genes JY Ryu, HU Kim, SY Lee Molecular BioSystems 11 (10), 2798-2807, 2015 | 18 | 2015 |
| Targeted and high-throughput gene knockdown in diverse bacteria using synthetic sRNAs JS Cho, D Yang, CPS Prabowo, MR Ghiffary, T Han, KR Choi, CW Moon, ... Nature communications 14 (1), 2359, 2023 | 11 | 2023 |
| KR-39038, a novel GRK5 inhibitor, attenuates cardiac hypertrophy and improves cardiac function in heart failure JH Lee, HW Seo, JY Ryu, CJ Lim, KY Yi, KS Oh, BH Lee Biomolecules & therapeutics 28 (5), 482, 2020 | 11 | 2020 |
Sang Yup LeeKAISTVerified email at kaist.ac.kr
