Title :
Satisfiability, sequence niches and molecular codes in cellular signalling
Author_Institution :
Life Sci. Core Labs. Center, Cornell Univ., Ithaca, NY
fDate :
9/1/2008 12:00:00 AM
Abstract :
Biological information processing as implemented by regulatory and signalling networks in living cells requires sufficient specificity of molecular interaction to distinguish signals from one another, but much of regulation and signalling involves somewhat fuzzy and promiscuous recognition of molecular sequences and structures, which can leave systems vulnerable to crosstalk. A simple model of biomolecular interactions that reveals both a sharp onset of crosstalk and a fragmentation of the neutral network of viable solutions is examined as more proteins compete for regions of sequence space, revealing intrinsic limits to reliable signalling in the face of promiscuity. These results suggest connections to both phase transitions in constraint satisfaction problems and coding theory bounds on the size of communication codes.
Keywords :
biology computing; cellular biophysics; fuzzy logic; molecular biophysics; neural nets; proteins; biological information processing; biomolecular interactions; cellular signalling; communication codes; fuzzy recognition; molecular codes; molecular interaction; molecular sequence; molecular structure; neutral network; phase transitions; regulatory networks; signalling networks;
Journal_Title :
Systems Biology, IET
DOI :
10.1049/iet-syb:20080076