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Species-specific protein sequence and fold optimizations.

Michel Dumontier1, Katerina Michalickova, Christopher W V Hogue

  • 1Department of Biochemistry, University of Toronto, Toronto, Ontario, M5S 1A8, Canada. micheld@mshri.on.ca

BMC Bioinformatics
|December 19, 2002
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Summary
This summary is machine-generated.

Organism survival depends on adapting to environmental niches. This study analyzed 100 genomes, revealing amino acid signatures linked to species-specific protein adaptations and environmental influences.

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Area of Science:

  • Genomics
  • Proteomics
  • Bioinformatics

Background:

  • Organismal adaptation to environmental niches is crucial for survival and proliferation.
  • This study investigates amino acid signatures enabling species-specific protein adaptation.
  • Analyzed 100 complete genomes, representing the largest study of its kind.

Purpose of the Study:

  • Identify amino acid signatures responsible for species-specific protein adaptation.
  • Exploit these signatures to understand environmental influences on protein composition.
  • Develop scoring functions for genomic and protein fold analysis.

Main Methods:

  • Correspondence analysis of amino acid composition from over 360,000 open reading frames (ORFs).
  • Clustering analysis of phylogenetically unrelated species with similar amino acid compositions.
  • Homology modeling to analyze residue preferences in protein folds.
  • Derivation of log-odds scoring functions (CG and CF).

Main Results:

  • Environmental niche significantly influences amino acid composition variability across archaea, bacteria, and eukaryotes.
  • Identified clusters of unrelated organisms sharing similar environments based on amino acid composition.
  • Found enrichment of small hydrophobic (Ala, Gly, Val) and charged (Asp, Glu, His, Arg) residues, with reduced larger aromatic residues (Phe, Trp, Tyr) in folds.
  • Developed scoring functions (CF and CG) with high cross-validation success rates (85% and 73%, respectively) for identifying species-specific sequences.

Conclusions:

  • Amino acid compositions in genomic sequences and protein folds show species-specific and environmental preferences.
  • Derived scoring functions can aid in future protein engineering and horizontal gene transfer event identification.