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Sang Mi Lee
Sang Mi Lee
Harvard Medical School
Verified email at hms.harvard.edu
Title
Cited by
Cited by
Year
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
Systematic and Comparative Evaluation of Software Programs for Template‐Based Modeling of Protein Structures
WD Jang†, SM Lee†, HU Kim, SY Lee
Biotechnology Journal 15 (6), 1900343, 2020
62020
Development of computational models using omics data for the identification of effective cancer metabolic biomarkers
SM Lee, HU Kim
Molecular Omics 17 (6), 881-893, 2021
42021
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
Systematic analysis of Mendelian disease-associated gene variants reveals new classes of cancer-predisposing genes
S Song, Y Koh, S Kim, SM Lee, HU Kim, JM Ko, SH Lee, SS Yoon, S Park
Genome Medicine 15 (1), 107, 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 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
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
Systematic Comparison and Evaluation of Template-based Protein Structure Modeling Software Programs
WD JANG, SM LEE, RYU Gahyeon, HU KIM, SY LEE
한국생물공학회 학술대회, 624-624, 2023
2023
Systematic analysis of disease-linked rare germline variants reveals new classes of cancer predisposing genes
S Song, Y Koh, S Kim, SM Lee, HU Kim, JM Ko, SH Lee, SS Yoon, S Park
bioRxiv, 2023.02. 15.528610, 2023
2023
Computational framework for predicting metabolic drug targets for cancer patients with poor prognosis
SM Lee, GR Lee, HU Kim
9th Metabolic Pathway Analysis Conference, MPA 2023, 2023
2023
Computational framework for predicting metabolites associated with somatic mutations in cancer using a genome-scale metabolic model
GR Lee, SM Lee, S Lee, CW Jeong, H Song, SY Lee, H Yun, Y Koh, ...
9th Metabolic Pathway Analysis Conference, MPA 2023, 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
Benchmarking Studies for Template-Based Modeling of Protein Structures
SM LEE, WD JANG, HU Kim, SY Lee
한국생물공학회 학술대회, 113-113, 2019
2019
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