Denatured-State Energy Landscapes of a Protein Structural Database Reveal the Energetic Determinants of a Framework Model for Folding

Suwei Wang, Jenny Gu, Scott A. Larson, Steven T. Whitten, Vincent J. Hilser

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Position-specific denatured-state thermodynamics were determined for a database of human proteins by use of an ensemble-based model of protein structure. The results of modeling denatured protein in this manner reveal important sequence-dependent thermodynamic properties in the denatured ensembles as well as fundamental differences between the denatured and native ensembles in overall thermodynamic character. The generality and robustness of these results were validated by performing fold-recognition experiments, whereby sequences were matched with their respective folds based on amino acid propensities for the different energetic environments in the protein, as determined through cluster analysis. Correlation analysis between structure and energetic information revealed that sequence segments destined for β-sheet in the final native fold are energetically more predisposed to a broader repertoire of states than are sequence segments destined for α-helix. These results suggest that within the subensemble of mostly unstructured states, the energy landscapes are dominated by states in which parts of helices adopt structure, whereas structure formation for sequences destined for β-strand is far less probable. These results support a framework model of folding, which suggests that, in general, the denatured state has evolutionarily evolved to avoid low-energy conformations in sequences that ultimately adopt β-strand. Instead, the denatured state evolved so that sequence segments that ultimately adopt α-helix and coil will have a high intrinsic structure formation capability, thus serving as potential nucleation sites.

Original languageEnglish (US)
Pages (from-to)1184-1201
Number of pages18
JournalJournal of Molecular Biology
Volume381
Issue number5
DOIs
StatePublished - Sep 19 2008

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Protein Databases
Thermodynamics
Proteins
Cluster Analysis
Amino Acids

Keywords

  • denatured states
  • energy landscape
  • fold recognition
  • framework model
  • thermodynamic environments

ASJC Scopus subject areas

  • Virology

Cite this

Denatured-State Energy Landscapes of a Protein Structural Database Reveal the Energetic Determinants of a Framework Model for Folding. / Wang, Suwei; Gu, Jenny; Larson, Scott A.; Whitten, Steven T.; Hilser, Vincent J.

In: Journal of Molecular Biology, Vol. 381, No. 5, 19.09.2008, p. 1184-1201.

Research output: Contribution to journalArticle

Wang, Suwei ; Gu, Jenny ; Larson, Scott A. ; Whitten, Steven T. ; Hilser, Vincent J. / Denatured-State Energy Landscapes of a Protein Structural Database Reveal the Energetic Determinants of a Framework Model for Folding. In: Journal of Molecular Biology. 2008 ; Vol. 381, No. 5. pp. 1184-1201.
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