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Related Experiment Video

Updated: Jun 3, 2026

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
07:55

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Published on: May 31, 2011

Identifying discriminative classification-based motifs in biological sequences.

Celine Vens1, Marie-Noëlle Rosso, Etienne G J Danchin

  • 1Katholieke Universiteit Leuven, Department of Computer Science, Celestijnenlaan 200A, Leuven, Belgium. celine.vens@cs.kuleuven.be

Bioinformatics (Oxford, England)
|March 5, 2011
PubMed
Summary
This summary is machine-generated.

We developed a new tool to find specific biological sequence motifs, even with variations. This method helps identify proteins involved in plant-nematode interactions, discovering 2579 potential new effector proteins.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Molecular Biology

Background:

  • Identifying conserved motifs in biological sequences is key to understanding shared functions.
  • Existing tools often lack the ability to check motif specificity against negative sequence sets.

Purpose of the Study:

  • To develop a novel computational tool for identifying degenerate motifs with high specificity.
  • To discover discriminative motifs that are present in a target set of sequences but absent from a negative set.

Main Methods:

  • A motif discovery tool was created, classifying amino acids by physico-chemical properties.
  • The tool identifies top K motifs frequent in positive sequences and absent in negative sequences.
  • The method was applied to identify effector proteins in the root knot nematode Meloidogyne incognita.

Main Results:

  • The tool successfully identified motifs specific to known effector proteins and absent in housekeeping proteins.
  • 2579 candidate effector proteins containing these specific motifs were detected in the M. incognita proteome.
  • This facilitates the discovery of new sequences involved in specific biological processes.

Conclusions:

  • The developed tool effectively identifies discriminative degenerate motifs.
  • It aids in the discovery of novel effector proteins in plant-parasitic nematodes.
  • This approach enhances the identification of proteins associated with specific biological functions.