Next Generation Chemical Dynamics and Transport Theories for Complex Biological and Material Systems
by Prof. Jaeyoung Sung
Chung-Ang University, Seoul, Korea
at Physics Colloquium
Tue, 07 Nov 2023, 15:15
Ilse Katz Institute for Nanoscale Science & Technology (51), room 015
In this talk, we will introduce new chemical dynamics models and theories useful for a quantitative investigation into dynamics of complex biological systems [1 ,2] Our primary focus will be on t he chemical fluctuation theorem governing gene expression and its pioneering applications to quantitative explanations and predictions of stochastic gene expression and signal propagation dynamic s in and across living cells Based on the audience’s preferences, we will showcase applications of our n ovel chemical dynamics theory to catalytic reactions of single enzymes and nanocatalytic systems [3,4], or we will discuss our newly developed transport equation , whose solution provides unified, quantitative understanding of thermal motion of molecules and ions in various complex fluids and solid electrolytes [ 5]. During the second part, we will talk about our recent work on nuclei seeds format ion and their condition dependent crystallization dynamics This work shed light on the thermodynamic origin of stable nuclei formation and provide unified, quantitative explanation of the time dependent size distribution and size dependent growth rate of nanoparticle systems observed by liquid phase TEM , which cannot be explained by the classical nucleation theory or other previous theories of nucleation.
 Park et al. al., The Chemical Fluctuation Theorem governing gene expression, Nat Commun. 9, 297 (2018); Lim et al. Quantitative understanding of probabilistic behavior of living cells operated by vibrant reaction networks, Phys. Rev. X 5, 031014 (2015).
 Song et al. al., Frequency spectrum of chemical fluctuation: a probe of reaction mechanism and dynamics, PLoS Comp Biol 15, e1007356 (2019) 2019); Kang et al. al., Circuit guided population acclimation of a synthetic microbial consortium for improved biochemical production, Nat . Commun. 13, 6506 (2022).
 Yang et al , Quantitative interpretation of the randomness in single enzyme turnover times, Biophys. J. 101, 519 (2011); Park et al. al., Nonclassical kinetics of clonal yet heterogeneous enzymes, J. Phys. Chem. Letters 8, 3152 (2017); Jeong et al. al., Phys. Rev. Letters 119, 099801 (2017).
 Kang et al Stochastic kinetics of nanocatalytic systems, Phys. Rev. Letters 126, 126001 (2021); Kang et al. al., Real space imaging of nanoparticle transport and interaction dynamics by graphene liquid cell TEM, Sci. Adv. 7, 49 (2021).
 Song et al. al., Transport Dynami cs in Complex Fluids, Proc. Nat. Acad. Scie. U.S.A. 116, 12733 (2019) 2019); Poletayev et al. al., Defect driven anomalous transport in fast ion conducting solid electrolytes, Na t . Mater. 21, 1066 (2022).
Created on 24-08-2023 by Maniv, Eran (eranmaniv)
Updaded on 04-09-2023 by Maniv, Eran (eranmaniv)