Dong-Yup Lee

Associate Professor

Sungkyunkwan University

South Korea

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Dong-Yup Lee is an Associate Professor at Sungkyunkwan University in South Korea. His research focuses on biomanufacturing, specifically in areas such as protein production in CHO cells, real-time monitoring of amino acids in mammalian cultures, and the interactions between antibiotics, microbiomes, and metabolomes. He has contributed significantly to the development of innovative methodologies for therapeutic production and the characterization of microbial interactions in various biological contexts.

Articles (19)

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2025

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2020

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2020

Collaborators (8)

Na-Rae Lee

National University of Singapore

SINGAPORE

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Yi Qing Lee

Sungkyunkwan University

SOUTH KOREA

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Seongkyu Yoon

UNITED STATES

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Nathan Lewis

Associate professor

University of California, San Diego

UNITED STATES

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Jiyong Kim

Associate Professor

Sungkyunkwan University

SOUTH KOREA

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Mi-Jin Kim

Sungkyunkwan University School of Medicine

SOUTH KOREA

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Kyeong-Seog Kim

University of Liverpool

UNITED KINGDOM

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Hyun-Seob Song

Associate Professor

University of Nebraska - Lincoln

UNITED STATES

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Dong-Yup Lee

Research Interests

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About

Articles (19)

Combining site-specific gut microbiome and mycobiome profiling with clinical indicators for effective management of pediatric Crohn's disease

Systematic identification of genomic hotspots for high-yield protein production in CHO cells

AutoML‐Driven Soft Sensors for Real‐Time Monitoring of Amino Acids in Mammalian Perfusion Cultures

Deciphering dynamic antibiotics-microbiome-metabolome interactions in preterm infants using systems biology

A robust scale-down model development and process characterization for monoclonal antibody biomanufacturing using multivariate data analysis

Characterization and design of dipeptide media formulation for scalable therapeutic production

Driving towards digital biomanufacturing by CHO genome-scale models

Kinetics-based inference of environment-dependent microbial interactions and their dynamic variation

Exploring metabolic effects of dipeptide feed media on CHO cell cultures by in silico model-guided flux analysis

Decoding cellular mechanism of recombinant adeno-associated virus (rAAV) and engineering host-cell factories toward intensified viral vector manufacturing

Data‐driven prediction models for forecasting multistep ahead profiles of mammalian cell culture toward bioprocess digital twins

Debottlenecking and reformulating feed media for improved CHO cell growth and titer by data‐driven and model‐guided analyses

Mitigating biomass composition uncertainties in flux balance analysis using ensemble representations

Data-driven and model-guided systematic framework for media development in CHO cell culture

Combined multivariate statistical and flux balance analyses uncover media bottlenecks to the growth and productivity of Chinese hamster ovary cell cultures

Genome scale metabolic models and analysis for evaluating probiotic potentials

Genome-Scale Metabolic Network Reconstruction and In Silico Analysis of Hexanoic acid Producing Megasphaera elsdenii

Genome‐scale metabolic reconstruction and in silico analysis of the rice leaf blight pathogen, Xanthomonas oryzae

In silico model-based characterization of metabolic response to harsh sparging stress in fed-batch CHO cell cultures

Collaborators (8)

Na-Rae Lee

Yi Qing Lee

Seongkyu Yoon

Nathan Lewis

Jiyong Kim

Mi-Jin Kim

Kyeong-Seog Kim

Hyun-Seob Song

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