Reliable quality-control methods for protein crystal structures

The emergence of structure‐determination initiatives that employ high‐throughput protein crystallography emphasizes the need to establish quality‐control methods for screening the resulting models prior to deposition with the public data banks. An in‐house database of 26 new protein structures, asso...

Full description

Saved in:
Bibliographic Details
Published inActa crystallographica. Section D, Biological crystallography. Vol. 58; no. 2; pp. 284 - 291
Main Authors Badger, John, Hendle, Jörg
Format Journal Article
LanguageEnglish
Published 5 Abbey Square, Chester, Cheshire CH1 2HU, England Munksgaard International Publishers 01.02.2002
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The emergence of structure‐determination initiatives that employ high‐throughput protein crystallography emphasizes the need to establish quality‐control methods for screening the resulting models prior to deposition with the public data banks. An in‐house database of 26 new protein structures, associated diffraction data and high‐quality experimentally determined electron‐density maps have been used to develop (i) a set of minimal global quality criteria that a structure must meet before the refinement may be considered completed and (ii) a reliable set of indicators for detecting local errors in protein structures. These criteria have been applied to detecting local errors to a set of structures recently deposited in the Protein Data Bank and it is estimated that about 3% of amino acids are incorrectly modeled.
Bibliography:ArticleID:AYDHE0284
istex:383F42D3391C1609A30F5975D7090F140249A882
ark:/67375/WNG-L40GJDF5-K
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1399-0047
0907-4449
1399-0047
DOI:10.1107/S0907444901020133