bioRxivBiophysicsPreprint
Modeling multi-particle complexes in stochastic chemical systems
Abstract
Large complexes of classical particles play central roles in biology, in polymer physics, and in other disciplines. However, physics currently lacks mathematical methods for describing such complexes in terms of component particles, interaction energies, and assembly rules. Here we describe a Fock space structure that addresses this need, as well as diagrammatic methods that facilitate the use of this formalism. These methods can dramatically simplify the equations governing both equilibrium and non-equilibrium stochastic chemical systems. A mathematical relationship between the set of all complexes and a list of rules for complex assembly is also identified.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A general framework for straightforward model construction of multi-component thermodynamic equilibrium systems
N. H. J. Geertjes, P. J. de Vink, … L. Brunsveld·bioRxiv·Nov 18, 2021
- Learning to count: determining the stoichiometry of bio-molecular complexes using fluorescence microscopy and statistical modelling
Sophia F. Mersmann, Emma Johns, … Joe Grove·bioRxiv·Jul 23, 2020
- The assembly yield of complex, heterogeneous structures: A computational toolbox
A. I. Curatolo, O. Kimchi, … M. P. Brenner·bioRxiv·Jun 26, 2022
- CHARMM-GUI Multicomponent Assembler for Modeling and Simulation of Complex Multicomponent Systems
N. R. Kern, J. Lee, … W. Im·bioRxiv·Aug 30, 2023
- Noise Analysis in Biochemical Complex Formation
Zikai Xu, Khem Raj Ghusinga, Abhyudai Singh·bioRxiv·May 1, 2018
- Intrinsic noise modulation in closed oligomerization-type systems
Marianne J. Rooman, Fabrizio Pucci·bioRxiv·Jan 28, 2018