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Hyun Kyu Choi

Yonsei University · 工学

研究室紹介

Professor Hyun Kyu Choi's research lab specializes in the development and application of advanced single-molecule biophysics techniques and multiscale modeling to understand complex biological and chemical processes. The lab focuses on mechanobiology, particularly the force-dependent dynamics of membrane proteins and immune receptors, using cutting-edge tools such as magnetic tweezers and single-molecule force microscopy. Additionally, the lab pioneers data-driven and Koopman operator-based modeling for industrial bioprocesses, especially in pulp and paper manufacturing, integrating macroscopic process control with microscopic fiber dynamics. Their interdisciplinary work bridges molecular-scale mechanisms with real-world engineering applications in biotechnology and sustainable materials.

single-molecule biophysicsmechanoimmunologymultiscale modelingpulp digester controlKoopman operator

Research Overview

Papers
53
Total Citations
890
Papers (5y)
20
Primary Field
工学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
20total
2022
2023
2024
2025
2026
Citations per year (5y)
329total
20222023202420252026

Selected Papers

15
1
Article|90 citations·2019
Watching helical membrane proteins fold reveals a common N-to-C-terminal folding pathway
Hyun-Kyu Choi, Duyoung Min, Hyunook Kang, Min Ju Shon, Sang-Hyun Rah, Hak Chan Kim, Hawoong Jeong, Hee‐Jung Choi, James U. Bowie, Tae‐Young Yoon
SJR Q1ScienceOA

A pathway for helical membrane proteins Membrane proteins are inserted into cell membranes while they are being translated and may fold concurrently into their secondary and tertiary structures. Choi et al. describe a single-molecule force microscopy technique that allowed them to monitor folding of helical membrane proteins in vesicles and bicelles. Two helical membrane proteins, the Escherichia coli rhomboid protease GlpG and the human β 2 -adrenergic receptor, both folded from the N to the C

Molecular BiologyBiochemistry, Genetics and Molecular Biology
2
Review|78 citations·2022
High-Resolution Single-Molecule Magnetic Tweezers
Hyun-Kyu Choi, Hyun Gyu Kim, Min Ju Shon, Tae‐Young Yoon
SJR Q1Annual Review of BiochemistryOA

Single-molecule magnetic tweezers deliver magnetic force and torque to single target molecules, permitting the study of dynamic changes in biomolecular structures and their interactions. Because the magnetic tweezer setups can generate magnetic fields that vary slowly over tens of millimeters-far larger than the nanometer scale of the single molecule events being observed-this technique can maintain essentially constant force levels during biochemical experiments while generating a biologically

Structural BiologyBiochemistry, Genetics and Molecular Biology
3
Article|75 citations·2021
Hybrid Koopman model predictive control of nonlinear systems using multiple EDMD models: An application to a batch pulp digester with feed fluctuation
Sang Hwan Son, Hyun‐Kyu Choi, Jiyoung Moon, Joseph Sang‐Il Kwon
SJR Q1Control Engineering Practice
Statistical and Nonlinear PhysicsPhysics and Astronomy
4
Article|68 citations·2023
Catch bond models may explain how force amplifies TCR signaling and antigen discrimination
Hyun-Kyu Choi, Peiwen Cong, Chenghao Ge, Aswin Natarajan, Baoyu Liu, Yong Zhang, Kaitao Li, Muaz Nik Rushdi, Wei Chen, Jizhong Lou, Michelle Krogsgaard, Cheng Zhu
SJR Q1Nature CommunicationsOA

The TCR integrates forces in its triggering process upon interaction with pMHC. Force elicits TCR catch-slip bonds with strong pMHCs but slip-only bonds with weak pMHCs. We develop two models and apply them to analyze 55 datasets, demonstrating the models' ability to quantitatively integrate and classify a broad range of bond behaviors and biological activities. Comparing to a generic two-state model, our models can distinguish class I from class II MHCs and correlate their structural parameters

ImmunologyImmunology and Microbiology
5
Article|63 citations·2021
Application of offset‐free Koopman‐based model predictive control to a batch pulp digester
Sang Hwan Son, Hyun‐Kyu Choi, Joseph Sang‐Il Kwon
SJR Q1AIChE Journal

Abstract This work presents the application of a Koopman operator approach to a batch pulp digester. To manufacture paper products with desired properties, it is essential to consider both macroscopic and microscopic attributes of pulp. However, the complexity of multiscale dynamics of pulping processes hinders proper control system design. Therefore, we utilize extended dynamic mode decomposition (EDMD), which is based on Koopman operator theory, to derive a global linear representation of a pu

Statistical and Nonlinear PhysicsPhysics and Astronomy
6
Article|55 citations·2019
Multiscale modeling and control of Kappa number and porosity in a batch‐type pulp digester
Hyun‐Kyu Choi, Joseph Sang‐Il Kwon
SJR Q1AIChE Journal

Abstract This work proposes a multiscale modeling and model‐based feedback control framework for the delignification process in a batch‐type pulp digester. Specifically, we focus on a hardwood chip in the digester and develop a multiscale model capturing both the evolution of microscopic properties such as the pore size and shape distributions in the solid phase and the dynamic changes in the temperature and component concentrations in the liquor phase. While the macroscopic model adopts the con

Computational Theory and MathematicsComputer Science
7
Article|51 citations·2020
Multiscale modeling and multiobjective control of wood fiber morphology in batch pulp digester
Hyun‐Kyu Choi, Joseph Sang‐Il Kwon
SJR Q1AIChE Journal

Abstract Even though it is widely known that mechanical properties of papers are dependent upon fiber morphology such as fiber length and cell wall thickness, existing macroscopic models are limited in describing the microscopic traits of pulp. Thus, we proposed a multiscale model by integrating a macroscopic model (i.e., Purdue model ) and a microscopic model (i.e., kinetic Monte Carlo algorithm) to capture the dynamic evolution of the fiber morphology as well as conventional pulp quality index

Fluid Flow and Transfer ProcessesChemical Engineering
8
Article|43 citations·2019
Modeling and control of cell wall thickness in batch delignification
Hyun‐Kyu Choi, Joseph Sang‐Il Kwon
SJR Q1Computers & Chemical Engineering
Biomedical EngineeringEngineering
9
Article|29 citations·2021
Inferential Model Predictive Control of Continuous Pulping under Grade Transition
Hyun‐Kyu Choi, Sang Hwan Son, Joseph Sang‐Il Kwon
SJR Q1Industrial & Engineering Chemistry Research

Even though continuous pulp processes have been studied for many years, the absence of a model that can accurately describe the evolution of fiber morphology has impeded the application of advanced control techniques. In this study, a multiscale model for continuous Kraft pulping processes, which can capture the spatiotemporal evolution of wood chips and cooking liquor, is developed by integrating a macroscopic model (i.e., Purdue model) with a microscopic model (i.e., kinetic Monte Carlo algori

Fluid Flow and Transfer ProcessesChemical Engineering
10
Article|23 citations·2022
Evolutionary balance between foldability and functionality of a glucose transporter
Hyun-Kyu Choi, Hyunook Kang, Chanwoo Lee, Hyun Gyu Kim, Ben P. Phillips, Soohyung Park, Charlotte Tumescheit, Sang Ah Kim, Hansol Lee, Soung‐Hun Roh, Heedeok Hong, Martin Steinegger
SJR Q1Nature Chemical BiologyOA
Molecular BiologyBiochemistry, Genetics and Molecular Biology
11
Article|22 citations·2019
The influence of heteromultivalency on lectin–glycan binding behavior
Hyun‐Kyu Choi, Dongheon Lee, Akshi Singla, Joseph Sang‐Il Kwon, Hung‐Jen Wu
SJR Q2Glycobiology

We recently discovered that the nature of lectin multivalency and glycolipid diffusion on cell membranes could lead to the heteromultivalent binding (i.e., a single lectin simultaneously binding to different types of glycolipid ligands). This heteromultivalent binding may even govern the lectin-glycan recognition process. To investigate this, we developed a kinetic Monte Carlo simulation, which only considers the fundamental physics/chemistry principles, to model the process of lectin binding to

Molecular BiologyBiochemistry, Genetics and Molecular Biology
12
Article|13 citations·2024
Mechanotransduction governs CD40 function and underlies X-linked hyper-IgM syndrome
Hyun-Kyu Choi, Stefano Travaglino, Matthias Münchhalfen, Richard Görg, Zhong Zhe, Jintian Lyu, David M. Reyes-Aguilar, Jürgen Wienands, Ankur Singh, Cheng Zhu
SJR Q1Science AdvancesOA

B cell maturation depends on cognate interactions between the T and B cells. Upon interaction with CD40 ligand (CD40L) on T cells, CD40 delivers costimulatory signals alongside B cell antigen receptor (BCR) signaling to regulate affinity maturation and antibody class switch. Mutations affecting CD40-CD40L interactions cause abnormal antibody responses in immunodeficiencies known as X-linked hyper-IgM syndrome (X-HIgM). Here, we study the CD40-mediated mechanotransduction in B cells, which likely

ImmunologyImmunology and Microbiology
13
Article|11 citations·2020
Multiscale modeling and predictive control of cellulose accessibility in alkaline pretreatment for enhanced glucose yield
Hyun‐Kyu Choi, Joseph Sang‐Il Kwon
SJR Q1Fuel
Biomedical EngineeringEngineering
14
Review|9 citations·2025
Catch Bonds in Immunology
Hyun-Kyu Choi, Cheng Zhu
SJR Q1Annual Review of ImmunologyOA

Catch bonds are molecular bonds that last longer under force than slip bonds, which become shorter-lived under force. Although catch bonds were initially discovered in studies of leukocyte and bacterial adhesions two decades ago, they have since been found in many other contexts, including platelet binding to blood vessel walls during clotting, structural support within the cell and between cells, force transmission in the cell's machineries for motility and mechanotransduction, viral infection

Atomic and Molecular Physics, and OpticsPhysics and Astronomy
15
Preprint|9 citations·2022
Catch bond models may explain how force amplifies TCR signaling and antigen discrimination
Hyun-Kyu Choi, Peiwen Cong, Chenghao Ge, Aswin Natarajan, Baoyu Liu, Yong Zhang, Kaitao Li, Muaz Nik Rushdi, Wei Chen, Jizhong Lou, Michelle Krogsgaard, Cheng Zhu
bioRxiv (Cold Spring Harbor Laboratory)OA

ABSTRACT Central to T cell biology, the T cell receptor (TCR) integrates forces in its triggering process upon interaction with peptide-major histocompatibility complex (pMHC) 1-3 . Phenotypically, forces elicit TCR catch-slip bonds with strong pMHCs but slip-only bonds with weak pMHCs 4-10 . While such correlation is commonly observed, the quantitative bond pattern and degree of “catchiness” vary. We developed two models based on the structure, elastic properties, and force-induced conformation

Atomic and Molecular Physics, and OpticsPhysics and Astronomy

Research Areas

Biomedical EngineeringMolecular BiologyImmunologyBiomaterialsFluid Flow and Transfer ProcessesBuilding and Construction

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