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GaRyoung Lee
GaRyoung Lee
Dana-Farber Cancer Institute, Harvard Medical School
Verifisert e-postadresse på dfci.harvard.edu
Tittel
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Machine learning-guided evaluation of extraction and simulation methods for cancer patient-specific metabolic models
SM Lee, GR Lee, HU Kim
Computational and Structural Biotechnology Journal 20, 3041-3052, 2022
72022
A contribution of metabolic engineering to addressing medical problems: Metabolic flux analysis
GR Lee, SM Lee, HU Kim
Metabolic Engineering, 2023
12023
Prediction of metabolites associated with somatic mutations in cancers by using genome-scale metabolic models and mutation data
GR Lee, SM Lee, S Lee, CW Jeong, H Song, SY Lee, H Yun, Y Koh, ...
Genome Biology 25 (1), 66, 2024
2024
Efficient production of an antitumor precursor actinocin and other medicinal molecules from kynurenine pathway in Escherichia coli
K Sharma, MR Ghiffary, GR Lee, HU Kim
Metabolic Engineering 81, 144-156, 2024
2024
Prediction of Treatment Targets for Cancer Patients with Poor Prognosis by Using Personalized Genome-Scale Metabolic Models
SM Lee, LEE GaRyoung, HU Kim
한국생물공학회 학술대회, 599-599, 2023
2023
Systematic Prediction of Metabolites and Metabolic Pathways Associated with Somatic Mutations in Cancers Using Genome-scale Metabolic Models
LEE GaRyoung, SM Lee, LEE Sungyoung, CW Jeong, S Hyojin, SY Lee, ...
한국생물공학회 학술대회, 598-598, 2023
2023
Prediction of metabolic drug targets for cancer patients with poor prognosis by using genome-scale metabolic models and survival analyses
SM Lee, GR Lee, HU Kim
Cancer Research 83 (7_Supplement), 3149-3149, 2023
2023
A Novel Computational Approach to Predict Metabolites Associated with Somatic Mutations in Cancers
SM LEE, LEE GaRyoung, LEE Sungyoung, S Hyojin, YUN Hongseok, ...
한국생물공학회 학술대회, 473-473, 2022
2022
Systematic Evaluation of Extraction and Simulation Methods for Development of High-Quality Cancer Patient-Specific Metabolic Models
SM LEE, LEE GaRyoung, HU KIM
한국생물공학회 학술대회, 474-474, 2022
2022
A computational model of cellular metabolism with mutation data predicts metabolites associated with somatic mutations in cancers
SM Lee, GR Lee, S Lee, H Song, SS Yoon, H Yun, Y Koh, HU Kim
Cancer Research 82 (12_Supplement), 2733-2733, 2022
2022
Systematic Characterization of Metabolic Reprogramming in Cancers Using Genome-scale Metabolic Models
LEE GaRyoung, SM LEE, HU KIM
한국생물공학회 학술대회, 142-142, 2021
2021
Predicting the effects of small molecules on transcriptome of cancer cell lines using deep learning
J Jeon, SM Lee, GR Lee, HU Kim
Cancer Research 80 (16_Supplement), 3380-3380, 2020
2020
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Artikler 1–12