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Constraint theory and hierarchical protein dynamics

J C Phillips

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The complexity and functionality of proteins requires that they occupy an exponentially small fraction of configuration space (perhaps 10−300). How did evolution manage to create such unlikely objects? Thorpe has solved the static half of this problem (known in protein chemistry as Levinthal's paradox) by observing that for stress-free chain segments the complexity of optimally constrained elastic networks scales not with expN (where N \sim 100 –1000 is the number of amino acids in a protein), but only with N. Newman's results for diffusion in N-dimensional spaces provide suggestive insights into the dynamical half of the problem. He showed that the distribution of residence (or pausing) time between sign reversals changes qualitatively at N \sim 40 . The overall sign of a protein can be defined in terms of a product of curvature and hydrophobic(philic) character over all amino acid residues. This construction agrees with the sizes of the smallest known proteins and prions, and it suggests a universal clock for protein molecular dynamics simulations.


PACS

36.20.-r Macromolecules and polymer molecules

87.15.Vv Diffusion

87.15.H- Dynamics of biomolecules

87.14.E- Proteins

MSC

92D20 Protein sequences, DNA sequences

Subjects

Soft matter, liquids and polymers

Atomic and molecular physics

Biological physics

Dates

Issue 44 (10 November 2004)

Received 14 August 2004

Published 22 October 2004



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