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Related Experiment Videos

Are coiled-coil proteins evolutionarily related?

S Subbiah1

  • 1Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138.

Journal of Molecular Biology
|April 20, 1989
PubMed
Summary
This summary is machine-generated.

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This study introduces a modified Needleman-Wunsch algorithm to distinguish sequence similarity from common ancestry, particularly for structural motifs like coiled-coils. The method differentiates evolutionary relationships from constraints imposed by protein structure.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Biology

Background:

  • Sequence similarity can arise from shared ancestry or structural constraints.
  • Distinguishing between these two sources is crucial for accurate evolutionary analysis.
  • The standard Needleman-Wunsch algorithm may not effectively differentiate these cases.

Purpose of the Study:

  • To present a modified Needleman-Wunsch algorithm.
  • To discriminate between sequence similarity due to common ancestry and that arising solely from structural motifs.
  • To apply the modified algorithm to analyze the coiled-coil motif.

Main Methods:

  • Modification of the Needleman-Wunsch sequence comparison scheme.
  • Development of a method to differentiate evolutionary relationships from structural constraints.

Related Experiment Videos

  • Application and illustration using coiled-coil motifs.

    • Main Results:

    • The modified algorithm successfully discriminates between common ancestry and structural constraints.
    • Demonstrated effectiveness on idealized coiled-coil sequences.
    • Validated on complex biological examples like intermediate filaments and reovirus hemagglutinin.

    Conclusions:

    • The proposed modification enhances sequence comparison accuracy.
    • It provides a more refined tool for analyzing protein families with structural motifs.
    • This method improves the understanding of evolutionary relationships in proteins governed by structural constraints.