Dissecting protein loops with a statistical scalpel suggests a functional implication of some structural motifs
2011

Understanding Protein Loops and Their Functions

Sample size: 4911 publication 10 minutes Evidence: moderate

Author Information

Author(s): Regad Leslie, Martin Juliette, Camproux Anne-Claude

Primary Institution: INSERM, U973, Paris, France

Hypothesis

Structural motifs of interest are subject to selective pressure during evolution, which should result in structural words with unexpectedly high frequency in protein structures.

Conclusion

The study identifies structural motifs in protein loops that are linked to functional features, suggesting a promising approach for predicting functional sites in proteins.

Supporting Evidence

  • Statistical over-representation in SCOP superfamilies is linked to functional features.
  • Two types of structural motifs were identified: ubiquitous motifs and superfamily-specific motifs.
  • Some structural motifs correspond to known functional sites involved in ligand binding.

Takeaway

Scientists looked at parts of proteins called loops to find patterns that help understand how proteins work. They found some patterns that are important for protein functions.

Methodology

The study used a structural alphabet and statistical methods to analyze protein loops and identify over-represented structural motifs.

Potential Biases

The study may miss functional motifs due to incomplete biological annotations.

Limitations

The analysis is limited by the availability of Swiss-Prot annotations and the mapping of PDB structures to UniProt.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1471-2105-12-247

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