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Seok Joo Chae

As seen in: PLOS, BioRxiv
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Articles

Biophysical Modeling Elucidates Mechanistic Principles for Rational Molecular Glue Design Click to copy article link Article link copied!

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By Seok Joo Chae, Jonathon DeBonis, Joseph P. Quinlan
| dx.doi.org
Introduction Click to copy section linkSection link copied! Chemical-induced proximity (CIP) is a powerful approach for disease treatment that creates non-native protein–protein interactions (PPIs), enabling a range of downstream effects. CIP-based drugs, such as proteolysis-targeting chimeras (PROTACs) and molecular glues (MGs), elicit therapeutic effects by inducing non-native PPIs between an effector protein and a target protein of interest (POI).
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From Homogeneity to Heterogeneity: Refining Stochastic Simulations of Gene Regulation

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By Seok Joo Chae, Seolah Shin, Seunggyu Lee, Jae Kyoung Kim
| BioRxiv
Abstract Cellular processes are intricately controlled through gene regulation, which is significantly influenced by intrinsic noise due to the small number of molecules involved. The Gillespie algorithm, a widely used stochastic simula- tion method, is pervasively employed to model these systems. However, this algorithm typically assumes that DNA is homogeneously distributed through- out the nucleus, which is not realistic.
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Beyond homogeneity: Assessing the validity of the Michaelis-Menten rate law in spatially heterogeneous environments

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By Seok Joo Chae, Seunggyu Lee, Jae Kyoung Kim, Seolah Shin
| PLOS
Citation: Shin S, Chae SJ, Lee S, Kim JK (2024) Beyond homogeneity: Assessing the validity of the Michaelis–Menten rate law in spatially heterogeneous environments. PLoS Comput Biol 20(6): e1012205. https://doi.org/10.1371/journal.pcbi.1012205 Editor: Andrea Ciliberto, IFOM - the Firc Insitute of Molecular Oncology, ITALY Received: January 26, 2024; Accepted: May 24, 2024; Published: June 6, 2024 Copyright: © 2024 Shin et al.
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