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Successful protein fold recognition by optimal sequence threading validated by rigorous blind testing

D T Jones1, R T Miller, J M Thornton

  • 1Department of Biochemistry and Molecular Biology, University College, London.

Proteins
|November 1, 1995
PubMed
Summary
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Our protein structure prediction method successfully identified correct folds for 7 out of 11 chains in a recent experiment. This demonstrates the effectiveness of our sequence threading approach for protein fold recognition.

Area of Science:

  • Computational Biology
  • Structural Bioinformatics
  • Protein Science

Background:

  • Protein structure prediction is crucial for understanding biological function.
  • Accurate prediction of protein folds remains a significant challenge in bioinformatics.

Purpose of the Study:

  • To evaluate the success rate of a novel protein structure prediction method.
  • To assess the performance of sequence threading technology in fold recognition.

Main Methods:

  • Utilized sequence threading for protein fold recognition.
  • Blind testing against 18 known protein structure targets.
  • Analysis of threading alignments, including pairwise energy and solvation energy Z-scores.

Main Results:

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  • Achieved a 7 out of 11 chain success rate in correctly assigning known protein folds.
  • 5 out of 9 predicted chains matched known folds, with an additional 2 partially matching chains also correctly predicted.
  • Identified potential for improvement by refining filtering criteria and considering combined energy scores.

Conclusions:

  • The developed sequence threading method shows promising results for protein fold recognition.
  • Fold recognition can occur through partial matching of known structural elements.
  • Further development of sequence threading technology holds significant potential for advancing structural bioinformatics.