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Improving pairwise sequence alignment between distantly related proteins.

Jin-an Feng1

  • 1Department of Chemistry, Center for Biotechnology, Temple University, USA.

Methods in Molecular Biology (Clifton, N.J.)
|November 13, 2007
PubMed
Summary
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NdPASA optimizes protein sequence alignment for remotely related proteins using structural information. This aids homologous protein structure modeling, especially when template structures are known.

Area of Science:

  • Structural Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Sequence alignment is crucial for understanding protein function and evolution.
  • Aligning remotely related proteins with low sequence identity remains a significant challenge.
  • Existing methods often lack the ability to effectively incorporate structural information.

Purpose of the Study:

  • To develop a novel web-based server, NdPASA, for optimizing sequence alignments between proteins with low sequence identity.
  • To integrate structural information of template sequences into a global alignment algorithm.
  • To enhance homologous protein structure modeling by improving alignment accuracy.

Main Methods:

  • NdPASA employs a global alignment algorithm incorporating neighbor-dependent amino acid propensities for secondary structure.

Related Experiment Videos

  • It evaluates the likelihood of residue pair matches based on secondary structure adoption in the template.
  • The server utilizes structural information of the template sequence as unique alignment parameters.

    • Main Results:

    • NdPASA effectively optimizes sequence alignments for proteins with low sequence identity.
    • The integration of secondary structure propensities improves alignment accuracy compared to traditional methods.
    • The server demonstrates utility in aiding homologous protein structure modeling.

    Conclusions:

    • NdPASA provides a valuable tool for tackling difficult protein sequence alignment problems.
    • The method's reliance on structural template information makes it particularly effective for homology modeling.
    • The web server is accessible online, facilitating its use in structural biology research.