Chemical dynamics of intracellular biomolecules with non‐exponential lifetime distribution

Abstract Biomolecules often exhibit non‐exponential lifetime distributions in living cells. Chemical dynamics of these biomolecules cannot be described by conventional chemical kinetics or chemical master equations. Here, we present an exact model study to investigate the effects of the nonexponential lifetime distribution on the time‐dependent concentration of biomolecules and its steady‐state fluctuations. Our exact model study shows that the mean product number increases more rapidly with time as the randomness of the product lifetime decreases even when the mean product creation time and the mean product lifetime are held fixed. The product number fluctuation decreases with product lifetime fluctuation when the product creation is a multi‐channel reaction process but increases with product lifetime fluctuation when the product creation is a multi‐step reaction process. This work presents a new paradigm of chemical dynamics that accurately describes the time profile and the steady‐state fluctuation of biomolecular concentrations in living cells.

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Publication Details

Journal
Bulletin of the Korean Chemical Society
Published
2026-01-01
DOI
https://doi.org/10.1002/bkcs.70096
Primary Topic
Gene Regulatory Network Analysis
Type
article
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article

Chemical dynamics of intracellular biomolecules with non‐exponential lifetime distribution

Jingyu Kang, Jaeyoung Sung, Jinwon Park, Yegyeong Kim et al.
Bulletin of the Korean Chemical Society
Gene Regulatory Network Analysis
article

Chemical dynamics of intracellular biomolecules with non‐exponential lifetime distribution

Jingyu Kang, Jaeyoung Sung, Jinwon Park, Yegyeong Kim, Jinhyung Kim, Ji‐Hyun Kim
article en

Abstract

Abstract Biomolecules often exhibit non‐exponential lifetime distributions in living cells. Chemical dynamics of these biomolecules cannot be described by conventional chemical kinetics or chemical master equations. Here, we present an exact model study to investigate the effects of the nonexponential lifetime distribution on the time‐dependent concentration of biomolecules and its steady‐state fluctuations. Our exact model study shows that the mean product number increases more rapidly with time as the randomness of the product lifetime decreases even when the mean product creation time and the mean product lifetime are held fixed. The product number fluctuation decreases with product lifetime fluctuation when the product creation is a multi‐channel reaction process but increases with product lifetime fluctuation when the product creation is a multi‐step reaction process. This work presents a new paradigm of chemical dynamics that accurately describes the time profile and the steady‐state fluctuation of biomolecular concentrations in living cells.

Bulletin of the Korean Chemical SocietyVol. 47(1)
Creative Research (GB), Chung-Ang University (KR)
Openalex Percentile: Top 92%
Gene Regulatory Network Analysis
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Chemical dynamics of intracellular biomolecules with non‐exponential lifetime distribution — Jingyu Kang, Jaeyoung Sung, et al. · Bulletin of the Korean Chemical Society (2026) | TGRS Research Map | TGRS