Quantitative sequence-function relationships in proteins based on gene ontology
2007

Understanding Protein Function and Sequence Relationships

Sample size: 6828 publication Evidence: moderate

Author Information

Author(s): Sangar Vineet, Blankenberg Daniel J, Altman Naomi, Lesk Arthur M

Primary Institution: The Pennsylvania State University

Hypothesis

The study investigates the relationship between sequence divergence and function divergence in homologous proteins.

Conclusion

The study reveals that for proteins with more than 50% sequence similarity, the chance of incorrect functional annotation is low.

Supporting Evidence

  • The study analyzed 6828 PFAM families to assess sequence and function divergence.
  • Results indicate that above 50% sequence identity, erroneous functional annotation occurs in fewer than 6% of cases.
  • The research provides a quantitative framework for understanding protein function evolution.

Takeaway

This study looks at how similar proteins can have different functions and helps us understand when we can trust transferring information about protein functions.

Methodology

The study analyzed sequence and functional divergence in 6828 protein families using pairwise alignments and Gene Ontology classifications.

Potential Biases

There is a risk of incorrect annotations due to reliance on sequence similarity alone.

Limitations

The study may not account for all exceptions in functional divergence due to recruitment and other factors.

Digital Object Identifier (DOI)

10.1186/1471-2105-8-294

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