antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters T Weber, K Blin, S Duddela, D Krug, HU Kim, R Bruccoleri, SY Lee, ... Nucleic acids research 43 (W1), W237-W243, 2015 | 2056 | 2015 |
antiSMASH 4.0—improvements in chemistry prediction and gene cluster boundary identification K Blin, T Wolf, MG Chevrette, X Lu, CJ Schwalen, SA Kautsar, ... Nucleic acids research 45 (W1), W36-W41, 2017 | 1247 | 2017 |
Minimum information about a biosynthetic gene cluster MH Medema, R Kottmann, P Yilmaz, M Cummings, JB Biggins, K Blin, ... Nature chemical biology 11 (9), 625-631, 2015 | 864 | 2015 |
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 | 595 | 2019 |
Systems metabolic engineering of Escherichia coli for l‐threonine production KH Lee, JH Park, TY Kim, HU Kim, SY Lee Molecular systems biology 3 (1), 149, 2007 | 548 | 2007 |
Systems strategies for developing industrial microbial strains SY Lee, HU Kim Nature biotechnology 33 (10), 1061-1072, 2015 | 547 | 2015 |
A comprehensive metabolic map for production of bio-based chemicals SY Lee, HU Kim, TU Chae, JS Cho, JW Kim, JH Shin, DI Kim, YS Ko, ... Nature catalysis 2 (1), 18-33, 2019 | 485 | 2019 |
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 | 457 | 2018 |
MEMOTE for standardized genome-scale metabolic model testing C Lieven, ME Beber, BG Olivier, FT Bergmann, M Ataman, P Babaei, ... Nature biotechnology 38 (3), 272-276, 2020 | 349 | 2020 |
Microbial production of building block chemicals and polymers JW Lee, HU Kim, S Choi, J Yi, SY Lee Current opinion in biotechnology 22 (6), 758-767, 2011 | 265 | 2011 |
Metabolic engineering of Corynebacterium glutamicum for L-arginine production SH Park, HU Kim, TY Kim, JS Park, SS Kim, SY Lee Nature communications 5 (1), 4618, 2014 | 261 | 2014 |
Systems biology and biotechnology of Streptomyces species for the production of secondary metabolites KS Hwang, HU Kim, P Charusanti, BØ Palsson, SY Lee Biotechnology advances 32 (2), 255-268, 2014 | 243 | 2014 |
Metabolic engineering of antibiotic factories: new tools for antibiotic production in actinomycetes T Weber, P Charusanti, EM Musiol-Kroll, X Jiang, Y Tong, HU Kim, ... Trends in biotechnology 33 (1), 15-26, 2015 | 238 | 2015 |
The secondary metabolite bioinformatics portal: computational tools to facilitate synthetic biology of secondary metabolite production T Weber, HU Kim Synthetic and Systems Biotechnology 1 (2), 69-79, 2016 | 225 | 2016 |
Application of systems biology for bioprocess development JH Park, SY Lee, TY Kim, HU Kim Trends in biotechnology 26 (8), 404-412, 2008 | 224 | 2008 |
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 | 204 | 2019 |
Integrative genome‐scale metabolic analysis of Vibrio vulnificus for drug targeting and discovery HU Kim, SY Kim, H Jeong, TY Kim, JJ Kim, HE Choy, KY Yi, JH Rhee, ... Molecular systems biology 7 (1), 460, 2011 | 200 | 2011 |
Metabolic flux analysis and metabolic engineering of microorganisms HU Kim, TY Kim, SY Lee Molecular BioSystems 4 (2), 113-120, 2008 | 183 | 2008 |
Recent development of antiSMASH and other computational approaches to mine secondary metabolite biosynthetic gene clusters K Blin, HU Kim, MH Medema, T Weber Briefings in Bioinformatics 20 (4), 1103-1113, 2019 | 172 | 2019 |
Metabolic engineering of microorganisms: general strategies and drug production SY Lee, HU Kim, JH Park, JM Park, TY Kim Drug Discovery Today 14 (1-2), 78-88, 2009 | 169 | 2009 |