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Related Experiment Videos

Flat bulk-solvent model: obtaining optimal parameters.

Andrei Fokine1, Alexandre Urzhumtsev

  • 1LCM3B, UPRESA 7036 CNRS, Faculté des Sciences, Université Henry Poincaré, Nancy I, 54506 Vandoeuvre-lés-Nancy, France.

Acta Crystallographica. Section D, Biological Crystallography
|August 29, 2002
PubMed
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Optimizing bulk solvent parameters in macromolecular refinement is crucial. This study presents a method to determine optimal flat-solvent model parameters, k(sol) and B(sol), for improved crystallographic structure analysis.

Area of Science:

  • Crystallography
  • Structural Biology
  • Biochemistry

Background:

  • Bulk-solvent correction is a standard procedure in macromolecular refinement.
  • The flat-solvent model is widely considered the most reliable for bulk solvent.
  • Current standard procedures may not yield optimal bulk-solvent correction parameters.

Purpose of the Study:

  • To present a method for determining the optimal values for k(sol) and B(sol) in the flat-solvent model.
  • To analyze the distribution of correctly determined solvent parameters in deposited crystallographic structures.
  • To provide recommended mean values for bulk solvent parameters for practical applications.

Main Methods:

  • Analysis of crystallographic structures deposited in the Protein Data Bank.

Related Experiment Videos

  • Investigation of the flat-solvent model parameters, k(sol) and B(sol).
  • Statistical analysis of parameter values to identify optimal and mean values.

    • Main Results:

    • The standard refinement procedure does not always yield optimal bulk-solvent correction parameters.
    • Correctly determined parameters cluster around k(sol) = 0.35 e A(-3) and B(sol) = 46 A(2).
    • These mean values possess reasonable physical meaning.

    Conclusions:

    • A method for obtaining optimal k(sol) and B(sol) values for the flat-solvent model is discussed.
    • The derived mean solvent parameters can be reliably used in many practical applications.
    • These mean values are particularly useful when refined parameters are unobtainable or an atomic model is not yet available.