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Matthews coefficient probabilities: Improved estimates for unit cell contents of proteins, DNA, and protein–nucleic acid complex crystals

Protein Science · 2003 · Vol. 12(9) · pp. 1865–1871
Katherine A. KantardjieffBernhard Rupp

Abstract

Estimating the number of molecules in the crystallographic asymmetric unit is one of the first steps in a macromolecular structure determination. Based on a survey of 15641 crystallographic Protein Data Bank (PDB) entries the distribution of V(M), the crystal volume per unit of protein molecular weight, known as Matthews coefficient, has been reanalyzed. The range of values and frequencies has changed in the 30 years since Matthews first analysis of protein crystal solvent content. In the statistical analysis, complexes of proteins and nucleic acids have been treated as a separate group. In addition, the V(M) distribution for nucleic acid crystals has been examined for the first time. Observing that resolution is a significant discriminator of V(M), an improved estimator for the probabilities of the number of molecules in the crystallographic asymmetric unit has been implemented, using resolution as additional information.

Enzyme Structure and FunctionProtein Structure and DynamicsCrystallization and Solubility StudiesNucleic acidProtein Data Bank (RCSB PDB)CrystallographyProtein Data BankMacromoleculeChemistryMoleculeResolution (logic)Crystal structureCrystal (programming language)

MeSH terms

CrystallizationDNADNA-Binding ProteinsModels, MolecularModels, TheoreticalNucleic AcidsProbabilityProtein BindingProteinsModels, StatisticalCrystallography, X-RayDatabases as Topic

Funding

  • U.S. Department of Energy
  • W. M. Keck Foundation
  • Welch Foundation
  • University of Oregon
  • University of Alberta
  • Technische Universität München
  • National Institutes of Health
  • Program for Education and Research in Biotechnology, California State University
  • Lawrence Livermore National Laboratory
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