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Related Experiment Videos

Progress in fold recognition

H Flöckner1, M Braxenthaler, P Lackner

  • 1Center for Applied Molecular Engineering, University of Salzburg, Austria.

Proteins
|November 1, 1995
PubMed
Summary
This summary is machine-generated.

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Fold recognition is a powerful tool in structural biology. Our technique accurately predicted protein structures in a public blind test, achieving molecular detail in some cases.

Area of Science:

  • Structural Biology
  • Computational Biology
  • Biophysics

Background:

  • Fold recognition is crucial for understanding protein function.
  • Predicting protein structures aids in experimental validation and drug discovery.

Purpose of the Study:

  • To evaluate the efficacy of a novel fold recognition technique.
  • To assess the accuracy of predicted protein structures against experimental data.

Main Methods:

  • Application of a proprietary fold recognition technique to 13 protein sequences.
  • Comparison of predicted structures with experimentally determined folds.
  • Analysis of prediction accuracy in a public blind test setting.

Main Results:

Related Experiment Videos

  • High accuracy in predicting structures for 'replication terminating protein' and 'prosequence of subtilisin'.
  • Correct prediction of approximate folds for two additional proteins.
  • Successful fold recognition in 7 out of 13 target sequences.

    • Conclusions:

    • The fold recognition technique demonstrates significant power and accuracy.
    • This method represents a breakthrough in predicting unknown protein structures ahead of experimental determination.
    • Further research is needed to address challenges in fold recognition.