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Alignment statistic for identifying related protein sequences

G W Moore, M Goodman

    Journal of Molecular Evolution
    |April 29, 1977
    PubMed
    Summary
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    A new statistical method helps determine evolutionary relationships between proteins by analyzing amino acid sequences. This approach validates distant protein kinship, like that in immunoglobulins, and confirms evolutionary links for dehydrogenases and subtilisin.

    Area of Science:

    • Bioinformatics
    • Molecular Evolution
    • Computational Biology

    Background:

    • Protein sequence similarity often indicates evolutionary kinship.
    • Distinguishing true homology from chance similarity in ancient proteins requires statistical rigor.

    Purpose of the Study:

    • To develop and validate a statistical method for assessing evolutionary relationships between protein sequences.
    • To evaluate kinship between anciently diverged proteins and verify proposed evolutionary connections.

    Main Methods:

    • A simple statistic was developed assuming equal codon pair probabilities.
    • Critical values were tabulated for amino acid sequence alignments up to 200 residues.
    • The statistic was applied to immunoglobulin V and C regions, dehydrogenases, flavodoxin, subtilisin, and globin/cytochrome b5 heme pockets.

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    Main Results:

    • Evidence supports a common ancestor for immunoglobulin V and C regions based on structural alignments.
    • Distant evolutionary relationships for dehydrogenases, flavodoxin, and subtilisin were statistically verified.
    • A common evolutionary origin for globin and cytochrome b5 heme binding pockets was not supported.

    Conclusions:

    • The developed statistic is a valid tool for evaluating protein evolutionary history.
    • It can differentiate between true homology and coincidental sequence similarity.
    • The findings provide insights into the evolutionary pathways of various protein families.