How liquid is biological signalling?

DOI10.1016/j.tcs.2008.10.037zbMath1158.92321OpenAlexW2078983054MaRDI QIDQ1007238

Vincent Danos, Linus J. Schumacher

Publication date: 20 March 2009

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://www.pure.ed.ac.uk/ws/files/16869896/How_liquid_is_biological_signalling.pdf

zbMATH Keywords

phase transitionprotein networksprotein domains

Mathematics Subject Classification ID

Applications of graph theory (05C90) Random graphs (graph-theoretic aspects) (05C80) Computing methodologies and applications (68U99) Biochemistry, molecular biology (92C40) Protein sequences, DNA sequences (92D20)

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Cites Work

• Rule-Based Modelling, Symmetries, Refinements
• Rule-Based Modelling of Cellular Signalling
• Probability with Martingales
• Markov Chains
• A simple model of global cascades on random networks
• The phase transition in inhomogeneous random graphs
• Abstract Interpretation of Cellular Signalling Networks