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Organism complexity anti-correlates with proteomic beta-aggregation propensity.

Gian Gaetano Tartaglia1, Riccardo Pellarin, Andrea Cavalli

  • 1Department of Biochemistry, University of Zürich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland. gian@bioc.unizh.ch

Protein Science : a Publication of the Protein Society
|September 13, 2005
PubMed
Summary

We developed a new method to analyze beta-aggregation potential in proteins. Natural proteomes show less aggregation tendency as organisms become more complex and live longer.

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Area of Science:

  • Biochemistry
  • Proteomics
  • Bioinformatics

Background:

  • Beta-aggregation is a key factor in protein structure and function.
  • Understanding proteome-wide aggregation tendencies is crucial for studying protein evolution and disease.

Purpose of the Study:

  • To develop a novel computational approach for estimating beta-aggregation potential in eukaryotic proteomes.
  • To investigate the relationship between organism complexity, longevity, and proteome-wide beta-aggregation tendencies.

Main Methods:

  • Statistical analysis of polypeptide segments' beta-aggregation propensity.
  • Calculation of aggregation propensity using an equation based on amino acid physicochemical properties.
  • Comparison of natural proteomes with randomized proteomes.

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Main Results:

  • A significant decreasing trend in beta-aggregation tendency with increasing organism complexity and longevity was observed.
  • Natural proteomes exhibit higher polarization in both low and high beta-aggregation prone sequences compared to randomized proteomes.
  • Low beta-aggregation propensity is linked to intrinsically disordered proteins, while high propensity is linked to stable folded structures.

Conclusions:

  • Organism complexity and longevity are inversely correlated with overall beta-aggregation tendency.
  • Natural proteomes are finely tuned for specific aggregation potentials, balancing the need for disordered and stable proteins.
  • The developed approach provides a new tool for analyzing proteome evolution and protein aggregation.