Literature DB >> 11326120

An evolutionary computational approach to the phase problem in macromolecular X-ray crystallography.

G Webster1, R Hilgenfeld.   

Abstract

The ab initio computation of the molecular envelopes of two proteins exclusively from their corresponding diffraction amplitudes demonstrates that an efficient and inherently parallel evolutionary search algorithm can assist in the direct phasing of macromolecules for which almost no a priori structural information is available. The applicability of this evolutionary computational approach is general and should not be limited to the examples described nor to extremes of data resolution, symmetry or structural size.

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Year:  2001        PMID: 11326120     DOI: 10.1107/s0108767301000496

Source DB:  PubMed          Journal:  Acta Crystallogr A        ISSN: 0108-7673            Impact factor:   2.290


  3 in total

1.  Improving experimental phases for strong reflections prior to density modification.

Authors:  Monarin Uervirojnangkoorn; Rolf Hilgenfeld; Thomas C Terwilliger; Randy J Read
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2013-09-20

2.  Progress in low-resolution ab initio phasing with CrowdPhase.

Authors:  Julien Jorda; Michael R Sawaya; Todd O Yeates
Journal:  Acta Crystallogr D Struct Biol       Date:  2016-03-01       Impact factor: 7.652

3.  CrowdPhase: crowdsourcing the phase problem.

Authors:  Julien Jorda; Michael R Sawaya; Todd O Yeates
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2014-05-23
  3 in total

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