발행물

전체 논문

206

71

Predicting the effects of cultivation condition on gene regulation in Escherichia coli by using deep learning
Kwon MS, Adidjaja JJ, Kim HU
Computational and Structural Biotechnology Journal, 2023.04

72

Computational prediction of interactions between Paxlovid and prescription drugs
Kim Y1, Ryu JY1, Kim HU1, Lee SY
Proceedings of the National Academy of Sciences U S A (PNAS), 2023.03

73

Deep learning enables accurate analysis of images generated from droplet-based digital polymerase chain reaction (dPCR)
Song Y1, Lim S1, Kim YT, Park YM, Jo DA, Bae NH, Lee SJ, Choi BG, Im SG, Kim HU*, Lee KG*
Sensors and Actuators B: Chemical, 2023.03

74

Recent development of machine learning models for the prediction of drug-drug interactions
Hong E, Jeon J, Kim HU*
Korean Journal of Chemical Engineering, 2023.02

75

Systems metabolic engineering of Corynebacterium glutamicum for the efficient production of β-alanine
Ghiffary MR, Prabowo CPS, Adidjaja JJ, Lee SY, Kim HU*
Metabolic Engineering, 2022.11

76

Efficient production of naringin acetate with different acyl donors via enzymatic transesterification by lipases
Baek Y, Lee S, Son J, Lee T, Oh J-M, Lee SH, Kim HU, Seo SW, Park SJ, Yoo HY, Park C
International Journal of Environmental Research and Public Health, 2022.03

77

High-level production of the natural blue pigment indigoidine from metabolically engineered Corynebacterium glutamicum for sustainable fabric dyes
Ghiffary MR, Prabowo CPS, Sharma K, Yan Y, Lee SY*, Kim HU*
ACS Sustainable Chemistry & Engineering, 2021.05

78

Modeling regulatory networks using machine learning for systems metabolic engineering
Kwon MS1, Lee BT1, Lee SY*, Kim HU*
Current Opinion in Biotechnology, 2020.10

79

Systematic and comparative evaluation of software programs for template-based modeling of protein structures
Jang WD1, Lee SM1, Kim HU*, Lee SY*
Biotechnology Journal, 2020.06

80

MEMOTE for standardized genome-scale metabolic model testing
Lieven C, Beber ME, Olivier BG, Bergmann FT, Ataman M, Babaei P, Bartell JA, Blank LM, Chauhan S, Correia K, Diener C, Dräger A, Ebert BE, Edirisinghe JN, Faria JP, Feist AM, Fengos G, Fleming RMT, García-Jiménez B, Hatzimanikatis V, van Helvoirt W, Henry CS, Hermjakob H, Herrgård MJ, Kaafarani A, Kim HU, King Z, Klamt S, Klipp E, Koehorst JJ, König M, Lakshmanan M, Lee DY, Lee SY, Lee S, Lewis NE, Liu F, Ma H, Machado D, Mahadevan R, Maia P, Mardinoglu A, Medlock GL, Monk JM, Nielsen J, Nielsen LK, Nogales J, Nookaew I, Palsson BO, Papin JA, Patil KR, Poolman M, Price ND, Resendis-Antonio O, Richelle A, Rocha I, Sánchez BJ, Schaap PJ, Sheriff RSM, Shoaie S, Sonnenschein N, Teusink B, Vilaça P, Vik JO, Wodke JAH, Xavier JC, Yuan Q, Zakhartsev M, Zhang C
Nature Biotechnology, 2020.03