Literature DB >> 24590721

Data collection for crystallographic structure determination.

Kanagalaghatta Rajashankar1, Zbigniew Dauter.   

Abstract

Diffraction data measurement is the final experimental step of crystal structure analysis; all subsequent stages are computational. Good-quality data, optimized for a particular application, make the structure solution and refinement easier and enhance the accuracy of the final models. This chapter describes the principles of the rotation method of data collection and discusses various scenarios that are useful for different types of applications, such as anomalous phasing, molecular replacement, ligand identification, etc. Some typical problems encountered in practice are also discussed.

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Year:  2014        PMID: 24590721      PMCID: PMC7670882          DOI: 10.1007/978-1-4939-0354-2_17

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  17 in total

1.  Data-collection strategies.

Authors:  Z Dauter
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  1999-10

2.  Generating isomorphous heavy-atom derivatives by a quick-soak method. Part I: test cases.

Authors:  Peter D Sun; Sergei Radaev; Michael Kattah
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2002-06-20

3.  Substructure solution with SHELXD.

Authors:  Thomas R Schneider; George M Sheldrick
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2002-09-28

Review 4.  Choice of data-collection parameters based on statistic modelling.

Authors:  Alexander N Popov; Gleb P Bourenkov
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2003-06-27

5.  On the routine use of soft X-rays in macromolecular crystallography. Part III. The optimal data-collection wavelength.

Authors:  Christoph Mueller-Dieckmann; Santosh Panjikar; Paul A Tucker; Manfred S Weiss
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2005-08-16

Review 6.  A quantitative approach to data-collection strategies.

Authors:  Gleb P Bourenkov; Alexander N Popov
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2005-12-14

7.  EDNA: a framework for plugin-based applications applied to X-ray experiment online data analysis.

Authors:  Marie-Françoise Incardona; Gleb P Bourenkov; Karl Levik; Romeu A Pieritz; Alexander N Popov; Olof Svensson
Journal:  J Synchrotron Radiat       Date:  2009-10-07       Impact factor: 2.616

8.  Detecting and overcoming crystal twinning.

Authors:  T O Yeates
Journal:  Methods Enzymol       Date:  1997       Impact factor: 1.600

9.  Linking crystallographic model and data quality.

Authors:  P Andrew Karplus; Kay Diederichs
Journal:  Science       Date:  2012-05-25       Impact factor: 47.728

10.  Optimization of data collection taking radiation damage into account.

Authors:  Gleb P Bourenkov; Alexander N Popov
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2010-03-24
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