Literature DB >> 14573948

Optimizing data collection for structure determination.

Ana González1.   

Abstract

The ultimate purpose of diffraction data collection is to produce a data set which will result in the required structural information about the molecule of interest. This usually entails collecting a complete and accurate set of reflection intensities to as high a resolution as possible. In practice, the characteristics of the crystal and properties of the X-ray source can be limiting factors to the data-set quality that can be achieved and a careful strategy has to be used to extract the maximum amount of information from the data within the experimental constraints. In the particular case of data intended for phasing using anomalous dispersion, the synchrotron beamline properties are relevant to determine how many wavelengths (one or more) should be used for the experiment and what the wavelength values should be. This will in turn affect the detailed strategy for data collection, including decisions about the data-collection sequence and how much data to collect at each wavelength. Collection of multiwavelength anomalous dispersion (MAD) data at three different wavelengths can provide very accurate experimental phases. Two-wavelength MAD experiments may offer the best compromise between phase quality and minimizing the effects of radiation damage to the sample. However, MAD experiments are demanding in terms of beamline wavelength range, easy tunability, stability and reproducibility. When the beamline cannot fulfill these demands, single-wavelength experiments may be a better option.

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Year:  2003        PMID: 14573948     DOI: 10.1107/s0907444903017700

Source DB:  PubMed          Journal:  Acta Crystallogr D Biol Crystallogr        ISSN: 0907-4449


  11 in total

1.  Structure determination of an FMN reductase from Pseudomonas aeruginosa PA01 using sulfur anomalous signal.

Authors:  Rakhi Agarwal; Jeffrey B Bonanno; Stephen K Burley; Subramanyam Swaminathan
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2006-03-18

2.  Crystal structure of the N-terminal domain of anaphase-promoting complex subunit 7.

Authors:  Dohyun Han; Kyunggon Kim; Yeonjung Kim; Yup Kang; Ji Yoon Lee; Youngsoo Kim
Journal:  J Biol Chem       Date:  2008-12-17       Impact factor: 5.157

3.  The design of macromolecular crystallography diffraction experiments.

Authors:  Gwyndaf Evans; Danny Axford; Robin L Owen
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2011-03-18

4.  The structure of BVU2987 from Bacteroides vulgatus reveals a superfamily of bacterial periplasmic proteins with possible inhibitory function.

Authors:  Debanu Das; Robert D Finn; Dennis Carlton; Mitchell D Miller; Polat Abdubek; Tamara Astakhova; Herbert L Axelrod; Constantina Bakolitsa; Connie Chen; Hsiu Ju Chiu; Michelle Chiu; Thomas Clayton; Marc C Deller; Lian Duan; Kyle Ellrott; Dustin Ernst; Carol L Farr; Julie Feuerhelm; Joanna C Grant; Anna Grzechnik; Gye Won Han; Lukasz Jaroszewski; Kevin K Jin; Heath E Klock; Mark W Knuth; Piotr Kozbial; S Sri Krishna; Abhinav Kumar; David Marciano; Daniel McMullan; Andrew T Morse; Edward Nigoghossian; Amanda Nopakun; Linda Okach; Christina Puckett; Ron Reyes; Christopher L Rife; Natasha Sefcovic; Henry J Tien; Christine B Trame; Henry van den Bedem; Dana Weekes; Tiffany Wooten; Qingping Xu; Keith O Hodgson; John Wooley; Marc André Elsliger; Ashley M Deacon; Adam Godzik; Scott A Lesley; Ian A Wilson
Journal:  Acta Crystallogr Sect F Struct Biol Cryst Commun       Date:  2010-03-05

5.  A multi-dataset data-collection strategy produces better diffraction data.

Authors:  Zhi Jie Liu; Lirong Chen; Dong Wu; Wei Ding; Hua Zhang; Weihong Zhou; Zheng Qing Fu; Bi Cheng Wang
Journal:  Acta Crystallogr A       Date:  2011-10-18       Impact factor: 2.290

6.  Facilitating best practices in collecting anomalous scattering data for de novo structure solution at the ESRF Structural Biology Beamlines.

Authors:  Daniele de Sanctis; Marcus Oscarsson; Alexander Popov; Olof Svensson; Gordon Leonard
Journal:  Acta Crystallogr D Struct Biol       Date:  2016-03-01       Impact factor: 7.652

7.  Can I solve my structure by SAD phasing? Anomalous signal in SAD phasing.

Authors:  Thomas C Terwilliger; Gábor Bunkóczi; Li Wei Hung; Peter H Zwart; Janet L Smith; David L Akey; Paul D Adams
Journal:  Acta Crystallogr D Struct Biol       Date:  2016-03-01       Impact factor: 7.652

8.  New paradigm for macromolecular crystallography experiments at SSRL: automated crystal screening and remote data collection.

Authors:  S Michael Soltis; Aina E Cohen; Ashley Deacon; Thomas Eriksson; Ana González; Scott McPhillips; Hsui Chui; Pete Dunten; Michael Hollenbeck; Irimpan Mathews; Mitch Miller; Penjit Moorhead; R Paul Phizackerley; Clyde Smith; Jinhu Song; Henry van dem Bedem; Paul Ellis; Peter Kuhn; Timothy McPhillips; Nicholas Sauter; Kenneth Sharp; Irina Tsyba; Guenter Wolf
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2008-11-18

9.  Estimating the difference between structure-factor amplitudes using multivariate Bayesian inference.

Authors:  Gergely Katona; Maria José Garcia-Bonete; Ida V Lundholm
Journal:  Acta Crystallogr A Found Adv       Date:  2016-03-30       Impact factor: 2.290

10.  MeshAndCollect: an automated multi-crystal data-collection workflow for synchrotron macromolecular crystallography beamlines.

Authors:  Ulrich Zander; Gleb Bourenkov; Alexander N Popov; Daniele de Sanctis; Olof Svensson; Andrew A McCarthy; Ekaterina Round; Valentin Gordeliy; Christoph Mueller-Dieckmann; Gordon A Leonard
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2015-10-31
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