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Data Collection for Crystallographic Structure Determination

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Structural Genomics and Drug Discovery

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1140))

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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Acknowledgements

K.R.R. is supported by a grant from National Institute of General Medical Sciences (8 P41 GM103403-10) of the National Institutes of Health. Z.D. has been supported by the Intramural Research Program of the NIH, National Cancer Institute, Center for Cancer Research.

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Authors and Affiliations

  1. NE-CAT and Department of Chemistry and Chemical Biology, Cornell University, Argonne National Laboratory, Argonne, IL, 60439, USA

    Kanagalaghatta Rajashankar

  2. Synchrotron Radiation Research Section, Biosciences Division, Macromolecular Crystallography Laboratory, National Cancer Institute, Argonne National Laboratory, Bldg. 202, 9700S. Cass Ave., Argonne, IL, 60439, USA

    Zbigniew Dauter

Authors
  1. Kanagalaghatta Rajashankar
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  2. Zbigniew Dauter
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Corresponding author

Correspondence to Zbigniew Dauter .

Editor information

Editors and Affiliations

  1. Center for Structural Genomics of Infectious Diseases Midwest Center for Structural Genomics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA

    Wayne F. Anderson

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Rajashankar, K., Dauter, Z. (2014). Data Collection for Crystallographic Structure Determination. In: Anderson, W.F. (eds) Structural Genomics and Drug Discovery. Methods in Molecular Biology, vol 1140. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-0354-2_17

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  • DOI: https://doi.org/10.1007/978-1-4939-0354-2_17

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-4939-0353-5

  • Online ISBN: 978-1-4939-0354-2

  • eBook Packages: Springer Protocols

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