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Amyloidogenic determinants are usually not buried

Kimon K Frousios1, Vassiliki A Iconomidou, Carolina-Maria Karletidi

  • 1Department of Cell Biology and Biophysics, Faculty of Biology, University of Athens, Panepistimiopolis, Athens 15701, Greece. kfrousios@biol.uoa.gr

BMC Structural Biology
|July 11, 2009
PubMed
Abstract

Insights

A new online tool predicts amyloidogenic regions in proteins by combining five methods. Most identified regions, including newly predicted ones, are on protein surfaces, suggesting potential therapeutic targets for amyloid diseases.

Area of Science:

  • Biophysics
  • Computational Biology
  • Molecular Biology

Background:

  • Amyloid diseases result from protein misfolding and aggregation into amyloid fibrils.
  • The precise mechanisms of amyloid fibril formation remain largely unknown.
  • Identifying amyloidogenic regions is crucial for understanding and potentially treating these diseases.

Purpose of the Study:

  • To develop a consensus prediction tool for identifying amyloidogenic regions in proteins.
  • To utilize only protein primary structure data for prediction.
  • To provide a publicly available online tool for researchers.

Main Methods:

  • Development of a consensus prediction tool integrating five independent methods.
  • Analysis of protein primary structure data.
  • Utilizing molecular graphics programs (O, PyMOL) and DSSP algorithm to analyze protein structures.

Main Results:

  • The consensus tool offers more objective predictions than individual methods.
  • Several novel potential amyloidogenic regions were identified.
  • Experimentally verified and predicted amyloidogenic determinants are predominantly located on protein surfaces.

Conclusions:

  • Amyloidogenic determinants, both verified and predicted, are primarily exposed on protein surfaces.
  • These surface-exposed regions may act as conformational switches.
  • Targeting these surface fragments could be a strategy for inhibiting amyloid fibril formation.

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