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Related Experiment Videos

Sequence comparisons using multiple sequences detect three times as many remote homologues as pairwise methods

J Park1, K Karplus, C Barrett

  • 1MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 2QH, UK.

Journal of Molecular Biology
|December 5, 1998
PubMed
Summary
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Advanced protein sequence analysis methods like hidden Markov models (SAM-T98) and PSI-BLAST outperform traditional pairwise comparisons in detecting distant evolutionary relationships, crucial for understanding protein families.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Biology

Background:

  • Protein sequence similarity is key to inferring function and evolutionary relationships.
  • Traditional pairwise sequence comparisons struggle with distantly related proteins (≤40% sequence identity).
  • Novel methods utilizing sequence sets or profiles aim to improve remote homology detection.

Purpose of the Study:

  • To assess the effectiveness of three advanced methods (SAM-T98, PSI-BLAST, ISS) in detecting evolutionary relationships.
  • To compare their performance against established pairwise methods (FASTA, GAP-BLAST).
  • To evaluate detection rates within the Protein Data Bank (PDBD40-J) database.

Main Methods:

  • Utilized the PDBD40-J database, containing protein sequences with ≤40% identity.

Related Experiment Videos

  • Employed SAM-T98 (hidden Markov model), PSI-BLAST, and Intermediate Sequence Search (ISS) as query methods.
  • Validated findings using structural and functional features for distantly related proteins.

    • Main Results:

    • SAM-T98 detected 35% of true homologous relationships, PSI-BLAST 30%, and ISS 25% in PDBD40-J.
    • These methods found approximately double the relationships compared to FASTA (17%) and GAP-BLAST (15%).
    • For sequences <30% identical, SAM-T98 and PSI-BLAST identified three times more relationships than pairwise methods.

    Conclusions:

    • Advanced methods significantly enhance the detection of remote protein homology.
    • Hidden Markov models and PSI-BLAST are superior for identifying evolutionary links between distantly related proteins.
    • These findings have implications for protein family classification and functional inference.