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Arby: automatic protein structure prediction using profile-profile alignment and confidence measures.

Niklas von Ohsen1, Ingolf Sommer, Ralf Zimmer

  • 1Institute for Algorithms and Scientific Computing (SCAI), Fraunhofer Gesellschaft, Schloss Birlinghoven, Sankt Augustin, 53754, Germany. Niklas.von-Oehsen@scai.fhg.de

Bioinformatics (Oxford, England)
|April 3, 2004
PubMed
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Arby is a novel protein structure prediction server. It combines multiple homology-based methods for accurate 3D structure determination, showing high sensitivity in recent experiments.

Area of Science:

  • Computational biology
  • Structural bioinformatics

Background:

  • Protein structure prediction is crucial for understanding protein function.
  • Developing accurate prediction methods remains a significant challenge in bioinformatics.

Purpose of the Study:

  • To introduce Arby, a new server for protein structure prediction.
  • To combine multiple homology-based methods for improved prediction accuracy.

Main Methods:

  • Arby integrates threading approaches utilizing structural information.
  • It incorporates profile-profile alignment with secondary structure predictions.
  • Empirically derived confidence measures aid in reliable template selection.

Main Results:

  • Arby demonstrated high sensitivity in predicting structures of single-domain proteins during the CAFASP3 experiment.

Related Experiment Videos

  • Template selection quality was evaluated through a fold-recognition experiment.

    • Conclusions:

    • Arby offers a reliable approach for protein structure prediction.
    • The server's performance highlights the effectiveness of combining diverse prediction strategies.