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Title: Autoindexing the diffraction patterns from crystals with a pseudotranslation

Journal Article · · Acta Crystallographica. Section D: Biological Crystallography
 [1]
  1. Physical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 (United States)

Lattice patterns containing alternating strong and weak reflections can be identified by a targeted search for the weak signals, permitting a wider range of diffraction patterns to be indexed automatically. Rotation photographs can be readily indexed if enough candidate Bragg spots are identified to properly sample the reciprocal lattice. However, while automatic indexing algorithms are widely used for macromolecular data processing, they can produce incorrect results in special situations where a subset of Bragg spots is systematically overlooked. This is a potential outcome in cases where a noncrystallographic translational symmetry operator closely mimics an exact crystallographic translation. In these cases, a visual inspection of the diffraction image will reveal alternating strong and weak reflections. However, reliable detection of the weak-intensity reflections by software requires a systematic search for a diffraction signal targeted at specific reciprocal-space locations calculated a priori by considering all possible pseudotranslations. Care must be exercised to distinguish between true lattice diffraction and spurious signals contributed by neighboring overlapping Bragg spots, non-Bragg diffraction and noise. Such procedures have been implemented within the autoindexing program LABELIT and applied to known cases from publicly available data sets. Routine use of this type of signal search adds only a few seconds to the typical run time for autoindexing. The program can be downloaded from http://cci.lbl.gov/labelit.

OSTI ID:
22347980
Journal Information:
Acta Crystallographica. Section D: Biological Crystallography, Vol. 65, Issue Pt 6; Other Information: PMCID: PMC2685732; PMID: 19465769; PUBLISHER-ID: dz5158; OAI: oai:pubmedcentral.nih.gov:2685732; Copyright (c) Sauter & Zwart 2009; This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.; Country of input: International Atomic Energy Agency (IAEA); ISSN 0907-4449
Country of Publication:
Denmark
Language:
English

Cited By (5)

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XGANDALF – extended gradient descent algorithm for lattice finding journal August 2019
XGANDALF – extended gradient descent algorithm for lattice finding text January 2019
A New Generation of Crystallographic Validation Tools for the Protein Data Bank journal October 2011

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