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Related Experiment Videos

A normalised scale for structural genomics target ranking: the OB-Score.

Ian M Overton1, Geoffrey J Barton

  • 1School of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, UK.

FEBS Letters
|July 1, 2006
PubMed
Summary
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We developed the OB-Score, a new method to predict protein crystallization potential. This score helps identify promising targets for structural genomics, improving the efficiency of structural studies.

Area of Science:

  • Structural biology
  • Genomics
  • Biophysics

Background:

  • Target selection is crucial for structural genomics.
  • Predicting protein crystallization propensity is challenging.

Purpose of the Study:

  • To introduce the OB-Score, a novel Z-score scale for ranking protein targets.
  • To assess the OB-Score's effectiveness in predicting diffraction-quality crystal formation.

Main Methods:

  • The OB-Score is calculated using predicted isoelectric point and hydrophobicity values.
  • Analysis involved nonredundant Protein Data Bank (PDB) entries and UniRef50 background data.
  • Statistical significance was evaluated using TargetDB test datasets.

Main Results:

Related Experiment Videos

  • A significant difference in OB-Scores was observed across TargetDB test datasets.
  • A broad distribution of OB-Scores was found across 241 proteomes and 7868 PfamA families.
  • Over 73% of PfamA families include members with high OB-Scores, indicating good crystallization potential.

    • Conclusions:

    • The OB-Score effectively ranks protein targets based on their likelihood of forming diffraction-quality crystals.
    • This scoring system aids in identifying favorable candidates for structural studies in genomics.
    • The OB-Score provides a valuable tool for prioritizing targets in structural genomics pipelines.