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Related Experiment Video

Updated: Mar 24, 2026

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Progress in low-resolution ab initio phasing with CrowdPhase.

Julien Jorda1, Michael R Sawaya1, Todd O Yeates1

  • 1UCLA-DOE, Institute for Genomics and Proteomics, 611 Charles Young Drive East, Los Angeles, CA 90095, USA.

Acta Crystallographica. Section D, Structural Biology
|March 10, 2016
PubMed
Summary
This summary is machine-generated.

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CrowdPhase, a crowdsourced game, enhances low-resolution X-ray crystallography phasing. Human players guide a genetic algorithm to solve complex crystallographic problems, improving electron-density map quality.

Area of Science:

  • Crystallography
  • Computational Biology
  • Bioinformatics

Background:

  • Ab initio phasing in low-resolution X-ray crystallography presents significant computational challenges.
  • Current methods struggle with reliable target functions for identifying correct solutions from phase space sampling.

Purpose of the Study:

  • To present advancements in CrowdPhase, a collaborative online game utilizing a genetic algorithm for ab initio phasing.
  • To address limitations of the initial CrowdPhase study by incorporating key crystallographic considerations.

Main Methods:

  • CrowdPhase employs a genetic algorithm where human players visually evaluate electron-density maps.
  • The enhanced version incorporates space-group symmetry, handles missing amplitudes, uses map correlation, and includes solvent flattening.
Keywords:
CrowdPhasecrowdsourcingdirect methodsphase problem

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Related Experiment Videos

Last Updated: Mar 24, 2026

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Main Results:

  • The updated CrowdPhase demonstrates improved performance in solving low-resolution X-ray crystallography phasing problems.
  • Tested on two datasets, the game successfully navigated complex crystallographic issues.

Conclusions:

  • CrowdPhase offers a viable hybrid approach combining human intelligence and genetic algorithms for crystallographic phasing.
  • The refined methodology shows promise for tackling challenging low-resolution structural biology problems.