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Related Experiment Videos

Reliable quality-control methods for protein crystal structures.

John Badger1, Jörg Hendle

  • 1Structural GenomiX, 10505 Roselle Street, San Diego, California 92121, USA. john_badger@stromix.com

Acta Crystallographica. Section D, Biological Crystallography
|January 25, 2002
PubMed
Summary

High-throughput protein structure determination requires quality control. New methods identify global and local errors, finding approximately 3% of amino acids are incorrectly modeled in deposited protein structures.

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Area of Science:

  • Structural biology
  • Biophysics
  • Computational biology

Background:

  • High-throughput structure determination initiatives necessitate robust quality control for protein models.
  • Public data banks require validated protein structures before deposition.

Purpose of the Study:

  • To develop quality control methods for screening protein models from high-throughput crystallography.
  • To establish criteria for assessing global quality and detecting local errors in protein structures.

Main Methods:

  • Utilized an in-house database of 26 protein structures, diffraction data, and electron-density maps.
  • Developed minimal global quality criteria for completed structure refinement.
  • Created indicators for detecting local errors within protein structures.

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Main Results:

  • Established global quality criteria for protein structure refinement.
  • Identified reliable indicators for local error detection in protein models.
  • Analysis of deposited structures revealed an estimated 3% of amino acids are incorrectly modeled.

Conclusions:

  • The developed methods provide essential quality control for high-throughput protein structure determination.
  • Accurate modeling of protein structures is crucial for reliable data deposition.
  • Ongoing quality assessment is vital to maintain the integrity of structural biology databases.