Iterative projection algorithms in protein crystallography. II. Application

Acta Crystallogr A Found Adv. 2015 Jul;71(Pt 4):451-9. doi: 10.1107/S2053273315005574. Epub 2015 Jun 6.

Abstract

Iterative projection algorithms (IPAs) are a promising tool for protein crystallographic phase determination. Although related to traditional density-modification algorithms, IPAs have better convergence properties, and, as a result, can effectively overcome the phase problem given modest levels of structural redundancy. This is illustrated by applying IPAs to determine the electron densities of two protein crystals with fourfold non-crystallographic symmetry, starting with only the experimental diffraction amplitudes, a low-resolution molecular envelope and the position of the non-crystallographic axes. The algorithm returns electron densities that are sufficiently accurate for model building, allowing automated recovery of the known structures. This study indicates that IPAs should find routine application in protein crystallography, being capable of reconstructing electron densities starting with very little initial phase information.

Keywords: density modification; iterative projection algorithms; phase determination; phasing.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Crystallography, X-Ray / methods*
  • Models, Chemical*
  • Proteins / chemistry*

Substances

  • Proteins