2023/07/06 by Manuel Eduardo Hernández-García, Jorge Velázquez-Castro, Hernández-García, Manuel Eduardo +1 · 2 citations
Biochemistry, Genetics and Molecular Biology · Chemistry · Engineering · #92-11 #Biomolecules (q-bio.BM) #FOS: Biological sciences #Gene Regulatory Network Analysis #I.6 #Molecular Junctions and Nanostructures #Molecular Networks (q-bio.MN) #thermodynamics and calorimetric analyses
paper · pdf · doi:10.48550/arxiv.2307.03057
openalex publication_date 2023/07/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Describing reaction rates in stochastic bio-circuits is commonly done by directly introducing the deterministically deduced Hill function into the master equation. However, when fluctuations in enzymatic reaction rates are not neglectable, the Hill function must be derived, considering all the involved stochastic reactions. In this work, we derived the stochastic version of the Hill function from the master equation of the complete set of reactions that, in the macroscopic limit, lead to the Hill function reaction rate. We performed a series expansion around the average values of the concentrations, which allowed us to find corrections for the deterministic Hill function. This process allowed us to quantify the fluctuations of enzymatic reactions. We found that the underlying variability in propensity rates of gene regulatory networks has an important non-linear effect that reduces the intrinsic fluctuations of the mRNA and protein concentrations.