Automated Protein Model Building Combined With Iterative Structure Refinement

Nat Struct Biol. 1999 May;6(5):458-63. doi: 10.1038/8263.

Abstract

In protein crystallography, much time and effort are often required to trace an initial model from an interpretable electron density map and to refine it until it best agrees with the crystallographic data. Here, we present a method to build and refine a protein model automatically and without user intervention, starting from diffraction data extending to resolution higher than 2.3 A and reasonable estimates of crystallographic phases. The method is based on an iterative procedure that describes the electron density map as a set of unconnected atoms and then searches for protein-like patterns. Automatic pattern recognition (model building) combined with refinement, allows a structural model to be obtained reliably within a few CPU hours. We demonstrate the power of the method with examples of a few recently solved structures.

MeSH terms

  • Adaptor Protein Complex alpha Subunits
  • Adaptor Proteins, Vesicular Transport
  • Algorithms*
  • Animals
  • Automation
  • Carbon-Nitrogen Lyases / chemistry
  • Chaperonin 60 / chemistry
  • Chitinases / chemistry
  • Crystallography, X-Ray
  • Electrons
  • Ligases / chemistry
  • Mannosidases / chemistry
  • Membrane Proteins / chemistry
  • Metalloendopeptidases / chemistry
  • Models, Molecular*
  • Pattern Recognition, Automated
  • Protein Conformation*
  • Proteins / chemistry*
  • Time Factors
  • beta-Mannosidase

Substances

  • Adaptor Protein Complex alpha Subunits
  • Adaptor Proteins, Vesicular Transport
  • Chaperonin 60
  • Membrane Proteins
  • Proteins
  • Mannosidases
  • Chitinases
  • beta-Mannosidase
  • Metalloendopeptidases
  • glycoprotein gp63, Leishmania
  • cyanate hydrolase
  • Carbon-Nitrogen Lyases
  • Ligases