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Progressive combinatorial algorithm for multiple structural alignments: application to distantly related proteins.

María Elena Ochagavía1, Shoshana Wodak

  • 1Center for Genetic Engineering and Biotechnology, Cubanacán, La Habana, Cuba.

Proteins
|March 30, 2004
PubMed
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MALECON, a novel protein structure alignment method, progressively aligns multiple protein structures. It accurately defines common structural features, even for diverse protein groups, aiding homology modeling and evolutionary studies.

Area of Science:

  • Structural Bioinformatics
  • Computational Biology
  • Protein Science

Background:

  • Multiple protein structure alignment is crucial for understanding protein function and evolution.
  • Existing methods face challenges in aligning structurally diverse protein families.

Purpose of the Study:

  • To introduce MALECON, a progressive combinatorial procedure for multiple protein structure alignment.
  • To evaluate MALECON's performance against existing methods using diverse protein datasets.

Main Methods:

  • MALECON iteratively builds multiple alignments from pairwise alignments.
  • It identifies consistently aligned residues and expands alignments by superimposing structures.
  • The method searches for spatially close C-alpha atoms to refine alignments.

Related Experiment Videos

Main Results:

  • MALECON provided superior definitions of common structural features for diverse OB and Jellyroll folds.
  • Comparable results were achieved for the more similar globin superfamily.
  • The procedure successfully generated consistent alignments for subgroups when full group alignment failed.

Conclusions:

  • MALECON is effective for multiple protein structure alignment, particularly for structurally diverse proteins.
  • Its ability to handle subgroup alignments is valuable for incomplete datasets.
  • The method shows significant potential for homology modeling and evolutionary investigations.