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Related Experiment Videos

Detecting distant homology with Meta-BASIC.

Krzysztof Ginalski1, Marcin von Grotthuss, Nick V Grishin

  • 1Department of Biochemistry, University of Texas, Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, Texas 75390-9038, USA. kginal@bioinfo.pl

Nucleic Acids Research
|June 25, 2004
PubMed
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Meta-BASIC identifies distant protein similarities using consensus alignments of meta profiles. This sensitive, high-throughput method aids in assigning functions to unknown protein families, outperforming many existing servers.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Bioinformatics

Background:

  • Protein sequence similarity detection is crucial for functional annotation.
  • Existing methods struggle with identifying very distant evolutionary relationships.
  • High-throughput functional assignment for uncharacterized proteins remains a challenge.

Purpose of the Study:

  • To introduce Meta-BASIC, a novel computational approach for sensitive detection of distant protein similarity.
  • To evaluate Meta-BASIC's performance against existing protein recognition servers.
  • To apply Meta-BASIC for functional annotation of protein families with unknown function (DUF).

Main Methods:

  • Meta-BASIC utilizes consensus alignments of meta profiles combined with predicted secondary structures.

Related Experiment Videos

  • It employs multiple scoring systems and alignment algorithms for robust comparison.
  • Benchmarking involved comparison with individual and meta-prediction servers.
  • Main Results:

    • Meta-BASIC demonstrates superior performance compared to many individual servers and competes with structure-based meta predictors.
    • The method successfully detects very distant protein relationships, even without known tertiary structures.
    • Application to 860 PfamA DUFs yielded numerous novel structure-functional assignments.

    Conclusions:

    • Meta-BASIC is a sensitive, high-throughput tool for recognizing distant protein similarities.
    • It offers a valuable approach for annotating uncharacterized proteins, particularly those in PfamA.
    • Novel functional assignments for DUF271 (nucleotide-diphospho-sugar transferase) and DUF431 (RNA methyltransferase) were proposed.