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Dynamics of allosteric action in multisite protein modification

Author

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  • Milotti, Edoardo
  • Del Fabbro, Alessio
  • Dalla Pellegrina, Chiara
  • Chignola, Roberto

Abstract

Protein functions in cells may be activated or modified by the attachment of several kinds of chemical groups. While protein phosphorylation, i.e., the attachment of a phosphoryl (PO3-) group, is the most studied form of protein modification, and is known to regulate the functions of many proteins, protein behavior can also be modified by nitrosylation, acetylation, methylation, etc. A protein can have multiple modification sites, and displays some form of transition only when enough sites are modified. In a previous paper we have modeled the generic equilibrium properties of multisite protein modification [R. Chignola, C. Dalla Pellegrina, A. Del Fabbro, E. Milotti, Physica A 371 (2006) 463] and we have shown that it can account both for sharp, robust thresholds and for information transfer between processes with widely separated timescales. Here we use the same concepts to expand that analysis starting from a dynamical description of multisite modification: we give analytical results for the basic dynamics and numerical results in an example where the modification chain is cascaded with a Michaelis–Menten step. We modify the dynamics and analyze an example with realistic phosphorylation/dephosphorylation steps, and give numerical evidence of the independence of the allosteric effect from the details of the attachment–detachment processes. We conclude that multisite protein modification is dynamically equivalent to the classic allosteric effect.

Suggested Citation

  • Milotti, Edoardo & Del Fabbro, Alessio & Dalla Pellegrina, Chiara & Chignola, Roberto, 2007. "Dynamics of allosteric action in multisite protein modification," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 133-150.
  • Handle: RePEc:eee:phsmap:v:379:y:2007:i:1:p:133-150
    DOI: 10.1016/j.physa.2006.12.034
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    Cited by:

    1. Andreas Petrides & Glenn Vinnicombe, 2018. "Enzyme sequestration by the substrate: An analysis in the deterministic and stochastic domains," PLOS Computational Biology, Public Library of Science, vol. 14(5), pages 1-23, May.

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