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Related Experiment Videos

How many conformations can a protein remember?

T M Fink1, R C Ball

  • 1Theory of Condensed Matter, Cavendish Laboratory, Cambridge CB3 0HE, United Kingdom. fink@lps.ens.fr

Physical Review Letters
|November 3, 2001
PubMed
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Proteins can learn multiple shapes like associative memory. Their capacity to remember conformations depends on amino acid variety, not length, enabling new protein designs.

Area of Science:

  • Biophysics
  • Computational Biology
  • Protein Folding

Background:

  • Proteins function through specific three-dimensional structures (conformations).
  • Understanding how proteins store information about their conformations is crucial for molecular biology.
  • Existing models, like Hopfield networks, have limitations in explaining biological systems.

Purpose of the Study:

  • To investigate proteins as associative memory systems capable of recognizing multiple conformations.
  • To develop a theoretical framework for calculating the information capacity of protein folding.
  • To explore the implications for protein evolution and design.

Main Methods:

  • Utilizing principles of energy fluctuations within protein structures.
  • Applying information theory to quantify conformational memory capacity.

Related Experiment Videos

  • Developing theoretical models analogous to associative memory networks.

    • Main Results:

    • Proteins can be trained to recognize multiple stable conformations.
    • The capacity for remembering conformations scales with the logarithm of the amino acid alphabet size (lnA), independent of protein length.
    • This contrasts with the linear scaling observed in traditional Hopfield networks.

    Conclusions:

    • Protein sequences possess an inherent capacity for conformational memory.
    • This mechanism supports the evolution of proteins with multiple stable states, like prions.
    • Opens avenues for designing novel proteins and heteropolymers with tailored conformational properties.