Hyun Uk Kim

Associate Professor

Korea Advanced Institute of Science and Technology

South Korea

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About

Hyun Uk Kim is an Associate Professor at the Korea Advanced Institute of Science and Technology. His research areas include metabolic modeling, drug resistance in cancer therapy, and the physiological effects of drug interactions. Recent articles involve extensive studies on Streptomyces strains, cancer-associated fibroblasts, and predictive modeling in microbial systems. His work contributes significantly to understanding complex biological systems and drug response mechanisms.

Articles (16)

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2025

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2021

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Korea Advanced Institute of Science and Technology

SOUTH KOREA

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Hyun Uk Kim

Research Interests

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Articles (16)

Predicting the physiological effects of multiple drugs using electronic health record

Pan-reactome analysis of Streptomyces strains reveals association and disconnection between primary and secondary metabolism

Genome-scale knockout simulation and clustering analysis of drug-resistant breast cancer cells reveal drug sensitization targets

Intrahepatic IgA complex induces polarization of cancer-associated fibroblasts to matrix phenotypes in the tumor microenvironment of HCC

Metabolic modeling of microorganisms involved in anaerobic digestion

Prediction of metabolites associated with somatic mutations in cancers by using genome-scale metabolic models and mutation data

Targeted and high-throughput gene knockdown in diverse bacteria using synthetic sRNAs

Computational prediction of interactions between Paxlovid and prescription drugs

Predicting the effects of cultivation condition on gene regulation in Escherichia coli by using deep learning

Efficient Production of Naringin Acetate with Different Acyl Donors via Enzymatic Transesterification by Lipases

Systems metabolic engineering of Streptomyces venezuelae for the enhanced production of pikromycin

Predicting Dynamic Clinical Outcomes of the Chemotherapy for Canine Lymphoma Patients Using a Machine Learning Model

High-Level Production of the Natural Blue Pigment Indigoidine from Metabolically Engineered Corynebacterium glutamicum for Sustainable Fabric Dyes

A deep learning approach to evaluate the feasibility of enzymatic reactions generated by retrobiosynthesis

Microbial production of multiple short-chain primary amines via retrobiosynthesis

Development of computational models using omics data for the identification of effective cancer metabolic biomarkers

Collaborators (9)

Chulhwan Park

Dongsoo Yang

jongmin oh

Sang Woo Seo

Sang Hun Lee

Kyeong Rok Choi

Min-Kyu Oh

Jong-Yeup Kim

Mun Su Kwon

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