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How liquid is biological signalling?

Journal Article journal-article Computer Science · Theoretical Computer Science

Abstract

This paper proposes an investigation of the global statistics of synthetic protein networks—a step towards a systemic understanding of their design space. We derive a liquidity index which describes the onset of the phase transition where an ensemble of agents aggregates into a giant cluster. This index captures the influence of both the domain distribution of agents and the binding strengths of their various domains in the limit of infinite populations. In simple cases it is possible to derive an explicit analytical expression of this index, which allows one to compare with simulations, and get a sense of how it transfers to the concrete finite case.

Authors

Keywords

  • Protein networks
  • Protein domains
  • Phase transition

Context

Venue
Theoretical Computer Science
Archive span
1975-2026
Indexed papers
16261
Paper id
578262998287097961
v2026.09.13