Optimization of linear disorder predictors yields tight association between crystallographic disorder and hydrophobicity

Nathan B. Holladay, Lisa N. Kinch, Nick V. Grishin

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

X-ray crystallographic protein structures often contain disordered regions that are observed as missing electron density. Diffraction data may give little or no direct evidence as to the specific nature of disordered regions. We have developed a weighted window-based disorder predictor optimized using crystallographic data. Performance of a predictor is strongly influenced by chain termini. Optimized score adjustment values for amino- and carboxy-terminal positions demonstrate a simple, monotonic relationship between disorder and residue distance from termini. This optimized disorder predictor performs similarly to DISOPRED2 on crystallographically disordered regions. Data-optimized residue disorder propensities show strong linear correlation with experimentally determined amino acid transfer energies between water and hydrogen-bonding organic solvents, which primarily reflect residue hydrophobicity (exemplified by the Nozaki-Tanford hydrophobicity scale). Disorder propensities do not correlate as well with transfer energies between water and apolar solvents, which primarily reflect a different hydropathic property: residue hydrophilicity (also reflected by the Kyte-Doolittle hydropathy scale). Our results suggest that while hydrophobic side-chain interactions are primarily involved in determining stability of the folded conformation, hydrogen bonding, and similar polar interactions are primarily involved in conformational and interaction specificity. Published by Cold Spring Harbor Laboratory Press.

Original languageEnglish (US)
Pages (from-to)2140-2152
Number of pages13
JournalProtein Science
Volume16
Issue number10
DOIs
StatePublished - Oct 2007

Keywords

  • Hydrophilicity
  • Hydrophobicity
  • Predictor optimization
  • Protein disorder
  • Protein structure
  • Simulated annealing
  • X-ray crystallography

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology

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