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Related Experiment Videos

Multiple sequence threading: conditional gap placement

W R Taylor1, R E Munro

  • 1Division of Mathematical Biology, National Institute for Medical Research, London, UK. wtaylor@nimr.mrc.ac.uk

Folding & Design
|January 1, 1997
PubMed
Summary
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This study introduces new methods for assessing gaps in protein sequence threading alignments. Findings reveal how gaps impact secondary structures and protein exposure, guiding improved threading algorithms.

Area of Science:

  • Computational Biology
  • Bioinformatics
  • Structural Biology

Background:

  • Multiple sequence threading aligns sequences to protein structures.
  • Accurate gap placement is crucial for effective threading.
  • Existing methods require refinement for optimal gap handling.

Purpose of the Study:

  • To develop and parameterize measures for assessing gap placement in multiple sequence threading.
  • To analyze the impact of gaps on protein structure and sequence properties.
  • To lay the foundation for optimizing gap penalties in threading algorithms.

Main Methods:

  • Constructed assessment measures for gaps using structural comparisons within the globin protein family.
  • Analyzed four gap states: deleted structure, inserted sequence, gap ends in structure, and broken ends in sequence.

Related Experiment Videos

  • Evaluated gap states based on exposure, occupancy, and secondary structure content.

    • Main Results:

    • Gaps frequently disrupt secondary structures.
    • Sequence insertions were not found in deeply buried protein regions.
    • Observed secondary structure and exposure in inserts were approximately half of predicted values.

    Conclusions:

    • Developed quantitative measures to analyze gap placement in sequence threading.
    • Insights gained inform the optimization of gap penalties for improved threading accuracy.
    • This work contributes to refining algorithms for threading sequences onto structures.