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Related Experiment Videos

Fold recognition without folds.

Kristin K Koretke1, Robert B Russell, Andrei N Lupas

  • 1Microbial Bioinformatics Group, GlaxoSmithKline, Collegeville, Pennsylvania 19426-0989, USA. Kristin_K_Koretke@sbphrd.com

Protein Science : a Publication of the Protein Society
|May 22, 2002
PubMed
Summary
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A new protein structure prediction method, SENSER, uses sequence searches (PSI-BLAST) without structural templates. This approach matches traditional fold recognition performance and can identify novel protein relationships.

Area of Science:

  • Computational biology
  • Structural bioinformatics
  • Protein structure prediction

Background:

  • Fold recognition is crucial for predicting protein 3D structure.
  • Traditional methods rely on secondary and tertiary structural information from templates.
  • Limitations exist in identifying relationships not amenable to template-based approaches.

Purpose of the Study:

  • To evaluate a novel sequence-based method for fold recognition.
  • To demonstrate that sequence information alone can achieve performance comparable to structure-based methods.
  • To enable the inference of protein relationships intractable by template-dependent methods.

Main Methods:

  • Utilized PSI-BLAST, a sequence search method.
  • Applied SENSER, a method rigorously using only sequence information.

Related Experiment Videos

  • Avoided explicit use of secondary or tertiary structure information from templates.

    • Main Results:

    • SENSER achieved performance comparable to traditional fold recognition methods.
    • The sequence-only approach proved effective in fold recognition.
    • Demonstrated the capability to infer relationships not detectable by structure-dependent methods.

    Conclusions:

    • Rigorous application of sequence search methods like PSI-BLAST can perform fold recognition effectively.
    • SENSER offers a powerful alternative for identifying protein relationships without 3D structural templates.
    • This method expands the scope of detectable evolutionary and functional links between proteins.