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Related Experiment Videos

Threading with explicit models for evolutionary conservation of structure and sequence.

A Panchenko1, A Marchler-Bauer, S H Bryant

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

Proteins
|October 20, 1999
PubMed
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This study used protein threading to predict 3D structures for 19 proteins. The method accurately identified the correct structural family for 11 proteins, avoiding false positives.

Area of Science:

  • Computational biology
  • Structural bioinformatics
  • Protein structure prediction

Background:

  • Predicting three-dimensional protein structures is crucial for understanding biological function.
  • The Critical Assessment of protein Structure Prediction (CASP) experiment benchmarks structure prediction methods.
  • Low sequence identity targets pose significant challenges for homology modeling.

Purpose of the Study:

  • To evaluate a protein threading method for predicting the three-dimensional structures of 19 proteins with less than 25% sequence identity to known structures.
  • To assess the accuracy of threading alignments and the identification of correct structural families.
  • To compare the performance of the threading method against other approaches in the CASP3 experiment.

Main Methods:

Related Experiment Videos

  • Employed a threading method aligning target sequences to conserved cores of structural templates.
  • Identified templates through structure-structure alignments with homologous neighbors.
  • Scored alternative alignments using contact potentials and position-specific score matrices from sequence neighbors.

Main Results:

  • Successfully identified the correct structural family for 11 out of 19 target proteins.
  • Avoided false positives by correctly predicting 8 targets as dissimilar to known templates.
  • Achieved accurate threading alignments for 10 of the 11 identified targets.
  • Received top ranking for fold-recognition predictions in the CASP3 experiment.

Conclusions:

  • Protein threading, incorporating family-specific models for structure and sequence conservation, enhances prediction accuracy.
  • The method demonstrates effectiveness in identifying correct protein structural families, even for proteins with low sequence homology.
  • The findings suggest threading is a valuable approach for challenging protein structure prediction problems.