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Title: On the relationship between cumulative correlation coefficients and the quality of crystallographic data sets

Abstract

Abstract In 2012, Karplus and Diederichs demonstrated that the Pearson correlation coefficient CC 1/2 is a far better indicator of the quality and resolution of crystallographic data sets than more traditional measures like merging R‐factor or signal‐to‐noise ratio. More specifically, they proposed that CC 1/2 be computed for data sets in thin shells of increasing resolution so that the resolution dependence of that quantity can be examined. Recently, however, the CC 1/2 values of entire data sets, i.e., cumulative correlation coefficients , have been used as a measure of data quality. Here, we show that the difference in cumulative CC 1/2 value between a data set that has been accurately measured and a data set that has not is likely to be small. Furthermore, structures obtained by molecular replacement from poorly measured data sets are likely to suffer from extreme model bias.

Authors:
ORCiD logo [1];  [2];  [3];  [2]
  1. Department of Molecular Biophysics and Biochemistry Yale University New Haven Connecticut 06520‐8114
  2. Department of Molecular Biophysics and Biochemistry Yale University New Haven Connecticut 06520‐8114, Department of Chemistry Yale University New Haven Connecticut 06520‐8107
  3. Department of Chemistry Yale University New Haven Connecticut 06520‐8107
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1405191
Grant/Contract Number:  
DESC0001423; DE‐FG0205ER15646
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Protein Science
Additional Journal Information:
Journal Name: Protein Science Journal Volume: 26 Journal Issue: 12; Journal ID: ISSN 0961-8368
Publisher:
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Wang, Jimin, Brudvig, Gary W., Batista, Victor S., and Moore, Peter B. On the relationship between cumulative correlation coefficients and the quality of crystallographic data sets. United Kingdom: N. p., 2017. Web. doi:10.1002/pro.3314.
Wang, Jimin, Brudvig, Gary W., Batista, Victor S., & Moore, Peter B. On the relationship between cumulative correlation coefficients and the quality of crystallographic data sets. United Kingdom. https://doi.org/10.1002/pro.3314
Wang, Jimin, Brudvig, Gary W., Batista, Victor S., and Moore, Peter B. Fri . "On the relationship between cumulative correlation coefficients and the quality of crystallographic data sets". United Kingdom. https://doi.org/10.1002/pro.3314.
@article{osti_1405191,
title = {On the relationship between cumulative correlation coefficients and the quality of crystallographic data sets},
author = {Wang, Jimin and Brudvig, Gary W. and Batista, Victor S. and Moore, Peter B.},
abstractNote = {Abstract In 2012, Karplus and Diederichs demonstrated that the Pearson correlation coefficient CC 1/2 is a far better indicator of the quality and resolution of crystallographic data sets than more traditional measures like merging R‐factor or signal‐to‐noise ratio. More specifically, they proposed that CC 1/2 be computed for data sets in thin shells of increasing resolution so that the resolution dependence of that quantity can be examined. Recently, however, the CC 1/2 values of entire data sets, i.e., cumulative correlation coefficients , have been used as a measure of data quality. Here, we show that the difference in cumulative CC 1/2 value between a data set that has been accurately measured and a data set that has not is likely to be small. Furthermore, structures obtained by molecular replacement from poorly measured data sets are likely to suffer from extreme model bias.},
doi = {10.1002/pro.3314},
journal = {Protein Science},
number = 12,
volume = 26,
place = {United Kingdom},
year = {Fri Oct 27 00:00:00 EDT 2017},
month = {Fri Oct 27 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1002/pro.3314

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Cited by: 4 works
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Works referenced in this record:

Linking Crystallographic Model and Data Quality
journal, May 2012


On the appearance of carboxylates in electrostatic potential maps: ESP Involving Carboxylate Groups
journal, December 2016


The R-factor gap in macromolecular crystallography: an untapped potential for insights on accurate structures
journal, September 2014

  • Holton, James M.; Classen, Scott; Frankel, Kenneth A.
  • The FEBS Journal, Vol. 281, Issue 18
  • DOI: 10.1111/febs.12922

Optimal Determination of Particle Orientation, Absolute Hand, and Contrast Loss in Single-particle Electron Cryomicroscopy
journal, October 2003


Structure of photosystem II and substrate binding at room temperature
journal, November 2016

  • Young, Iris D.; Ibrahim, Mohamed; Chatterjee, Ruchira
  • Nature, Vol. 540, Issue 7633
  • DOI: 10.1038/nature20161

The significance of the phase synthesis
journal, May 1961

  • Srinivasan, R.
  • Proceedings of the Indian Academy of Sciences - Section A, Vol. 53, Issue 5
  • DOI: 10.1007/BF03049190

An Apparent Paradox in Crystal Structure Analysis
journal, April 1961

  • Ramachandran, G. N.; Srinivasan, R.
  • Nature, Vol. 190, Issue 4771
  • DOI: 10.1038/190159a0

The probability distribution of X-ray intensities
journal, October 1949


Serial crystallography on in vivo grown microcrystals using synchrotron radiation
journal, February 2014


The mode of attachment of the azide ion to sperm whale metmyoglobin
journal, January 1964


Room temperature femtosecond X-ray diffraction of photosystem II microcrystals
journal, June 2012

  • Kern, J.; Alonso-Mori, R.; Hellmich, J.
  • Proceedings of the National Academy of Sciences, Vol. 109, Issue 25, p. 9721-9726
  • DOI: 10.1073/pnas.1204598109

Largest likely values for the reliability index
journal, September 1950


Assessing and maximizing data quality in macromolecular crystallography
journal, October 2015


Identification of rogue datasets in serial crystallography
journal, April 2016

  • Assmann, Greta; Brehm, Wolfgang; Diederichs, Kay
  • Journal of Applied Crystallography, Vol. 49, Issue 3
  • DOI: 10.1107/S1600576716005471

Largest likely values of residuals
journal, November 1974


Modeling truncated pixel values of faint reflections in MicroED images
journal, May 2016

  • Hattne, Johan; Shi, Dan; de la Cruz, M. Jason
  • Journal of Applied Crystallography, Vol. 49, Issue 3
  • DOI: 10.1107/S1600576716007196

Accurate model annotation of a near-atomic resolution cryo-EM map
journal, March 2017

  • Hryc, Corey F.; Chen, Dong-Hua; Afonine, Pavel V.
  • Proceedings of the National Academy of Sciences, Vol. 114, Issue 12
  • DOI: 10.1073/pnas.1621152114

Experimental charge density from electron microscopic maps: Laplacian Operation on ESP Maps
journal, May 2017


Light-induced structural changes and the site of O=O bond formation in PSII caught by XFEL
journal, February 2017

  • Suga, Michihiro; Akita, Fusamichi; Sugahara, Michihiro
  • Nature, Vol. 543, Issue 7643
  • DOI: 10.1038/nature21400

Taking snapshots of photosynthetic water oxidation using femtosecond X-ray diffraction and spectroscopy
journal, July 2014

  • Kern, Jan; Tran, Rosalie; Alonso-Mori, Roberto
  • Nature Communications, Vol. 5, Issue 1
  • DOI: 10.1038/ncomms5371

New statistical tests for distinguishing between centrosymmetric and non-centrosymmetric structures
journal, November 1966


Why phase errors affect the electron function more than amplitude errors
journal, February 2008

  • Lattman, Eaton; DeRosier, David
  • Acta Crystallographica Section A Foundations of Crystallography, Vol. 64, Issue 2
  • DOI: 10.1107/S0108767307067372

Serial crystallography using synchrotron radiation
journal, February 2014


Mathematical Contributions to the Theory of Evolution. III. Regression, Heredity, and Panmixia
journal, January 1896

  • Pearson, K.
  • Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 187, Issue 0
  • DOI: 10.1098/rsta.1896.0007

Simultaneous Femtosecond X-ray Spectroscopy and Diffraction of Photosystem II at Room Temperature
journal, February 2013


Solving protein nanocrystals by cryo-EM diffraction: Multiple scattering artifacts
journal, January 2015


Structural Studies with X Rays
journal, June 1965


Similarity measures between images
journal, January 1987


Free R value: a novel statistical quantity for assessing the accuracy of crystal structures
journal, January 1992


Enabling X-ray free electron laser crystallography for challenging biological systems from a limited number of crystals
journal, March 2015

  • Uervirojnangkoorn, Monarin; Zeldin, Oliver B.; Lyubimov, Artem Y.
  • eLife, Vol. 4
  • DOI: 10.7554/eLife.05421

X-ray structures of recombinant yeast cytochrome c peroxidase and three heme-cleft mutants prepared by site-directed mutagenesis
journal, August 1990

  • Wang, Jimin; Mauro, J. Matthew; Edwards, Steven L.
  • Biochemistry, Vol. 29, Issue 31
  • DOI: 10.1021/bi00483a003

Effects of aligned α-helix peptide dipoles on experimental electrostatic potentials: Long-Range ESP and Dipole Moment
journal, June 2017

  • Wang, Jimin; Videla, Pablo E.; Batista, Victor S.
  • Protein Science, Vol. 26, Issue 9
  • DOI: 10.1002/pro.3204