TL;DR
This paper analytically studies the statistical physics of dimer self-assembly, revealing how biophysical systems favor search-limited regimes where monomer encounter rates, rather than combinatorial complexity, govern correct dimer formation.
Contribution
It provides an exact partition function for dimer formation and classifies systems into search-limited and combinatorics-limited types, with implications for biological self-assembly.
Findings
Most biological systems are search-limited in dimerization.
Correct dimerization depends on the product of particle diversity and volume.
Analytical framework applies to DNA, transcription factors, and proteins.
Abstract
In the self-assembly process which drives the formation of cellular membranes, micelles, and capsids, a collection of separated subunits spontaneously binds together to form functional and more ordered structures. In this work, we study the statistical physics of self-assembly in a simpler scenario: the formation of dimers from a system of monomers. The properties of the model allow us to frame the microstate counting as a combinatorial problem whose solution leads to an exact partition function. From the associated equilibrium conditions, we find that such dimer systems come in two types: "search-limited" and "combinatorics-limited", only the former of which has states where partial assembly can be dominated by correct contacts. Using estimates of biophysical quantities in systems of single-stranded DNA dimerization, transcription factor and DNA interactions, and protein-protein…
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