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Threading a database of protein cores

T Madej1, J F Gibrat, S H Bryant

  • 1Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA.

Proteins
|November 1, 1995
PubMed
Summary

This study analyzed protein structure prediction methods using a threading approach on 10 blind predictions. Accurate predictions for two proteins demonstrate the potential of recognizing known domain folds, highlighting the importance of fold definition.

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Area of Science:

  • Computational biology
  • Structural bioinformatics
  • Protein structure prediction

Background:

  • Protein structure prediction is crucial for understanding protein function.
  • Assessing the accuracy of prediction methods is vital for advancing the field.
  • Threading methods offer a way to predict structures by recognizing known protein folds.

Purpose of the Study:

  • To analyze the performance of a threading method in blind protein structure prediction.
  • To identify factors contributing to successes and failures in structure prediction.
  • To evaluate the accuracy of predicted protein structures against known folds.

Main Methods:

  • Applied a threading method to 10 blind protein sequences against a structure database.
  • Assessed prediction accuracy based on threading scores and alignment quality.

Related Experiment Videos

  • Distinguished error sources by analyzing the impact of 'core' definitions and threading potential.

    • Main Results:

    • Four out of 10 proteins showed significant similarity to known structures.
    • Two predictions were accurate, with similar structures ranked highly.
    • The best model had a mean alignment error of 2.7 residues, mainly due to minor shifts.

    Conclusions:

    • Accurate definition of protein 'folds' is critical for successful substructure recognition.
    • The threading method's success depends on correctly identifying conserved substructures.
    • This study provides insights into the strengths and limitations of threading-based protein structure prediction.