How liquid is biological signalling?

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 i...

Full description

Saved in:
Bibliographic Details
Published in:Theoretical computer science 2009-03, Vol.410 (11), p.1003-1012
Main Authors: Danos, Vincent, Schumacher, Linus J.
Format: Article
Language:English
Subjects:
Applied sciences
Combinatorics
Combinatorics. Ordered structures
Computer science
control theory
systems
Designs and configurations
Exact sciences and technology
Mathematics
Miscellaneous
Phase transition
Protein domains
Protein networks
Sciences and techniques of general use
Theoretical computing
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0304-3975
1879-2294
DOI:10.1016/j.tcs.2008.10.037