MAD data collection - current trends.

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The multi-wavelength anomalous diffraction, or MAD, method of determining protein structure is becoming routine in protein crystallography. An increase in the number of tuneable synchrotrons beamlines coupled with the widespread availability position-sensitive X-ray detectors based on charged-coupled devices and having fast readout raised MAD structure determination to a new and exciting level. Ultra-fast MAD data collection is now possible. Recognition of the value of selenium for phasing protein structures and improvement of methods for incorporating selenium into proteins in the form of selenomethionine have attracted greater interest in the MAD method. Recent developments in crystallographic software are complimenting the above ... continued below

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23 p.

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Dementieva, I.; Evans, G.; Joachimiak, A.; Sanishvili, R. & Walsh, M. A. September 20, 1999.

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Description

The multi-wavelength anomalous diffraction, or MAD, method of determining protein structure is becoming routine in protein crystallography. An increase in the number of tuneable synchrotrons beamlines coupled with the widespread availability position-sensitive X-ray detectors based on charged-coupled devices and having fast readout raised MAD structure determination to a new and exciting level. Ultra-fast MAD data collection is now possible. Recognition of the value of selenium for phasing protein structures and improvement of methods for incorporating selenium into proteins in the form of selenomethionine have attracted greater interest in the MAD method. Recent developments in crystallographic software are complimenting the above advances, paving the way for rapid protein structure determination. An overview of a typical MAD experiment is described here, with emphasis on the rates and quality of data acquisition now achievable at beamlines developed at third-generation synchrotrons sources.

Physical Description

23 p.

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INIS; OSTI as DE00011966

Medium: P; Size: 23 pages

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  • CCP4 Annual Meeting, Sheffield (GB), 01/05/1999--01/10/1999

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  • Report No.: ANL/BIO/CP-100053
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 11966
  • Archival Resource Key: ark:/67531/metadc626316

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Office of Scientific & Technical Information Technical Reports

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  • September 20, 1999

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

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  • April 10, 2017, 3:46 p.m.

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Dementieva, I.; Evans, G.; Joachimiak, A.; Sanishvili, R. & Walsh, M. A. MAD data collection - current trends., article, September 20, 1999; Illinois. (digital.library.unt.edu/ark:/67531/metadc626316/: accessed September 23, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.