Prediction of the aggregation propensity of proteins from the primary sequence: Aggregation properties of proteomes

Virginia Castillo, Ricardo Graña-Montes, Raimon Sabate, Salvador Ventura

Research output: Contribution to journalReview articleResearchpeer-review

52 Citations (Scopus)

Abstract

In the cell, protein folding into stable globular conformations is in competition with aggregation into non-functional and usually toxic structures, since the biophysical properties that promote folding also tend to favor intermolecular contacts, leading to the formation of β-sheet-enriched insoluble assemblies. The formation of protein deposits is linked to at least 20 different human disorders, ranging from dementia to diabetes. Furthermore, protein deposition inside cells represents a major obstacle for the biotechnological production of polypeptides. Importantly, the aggregation behavior of polypeptides appears to be strongly influenced by the intrinsic properties encoded in their sequences and specifically by the presence of selective short regions with high aggregation propensity. This allows computational methods to be used to analyze the aggregation properties of proteins without the previous requirement for structural information. Applications range from the identification of individual amyloidogenic regions in disease-linked polypeptides to the analysis of the aggregation properties of complete proteomes. Herein, we review these theoretical approaches and illustrate how they have become important and useful tools in understanding the molecular mechanisms underlying protein aggregation. © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Original languageEnglish
Pages (from-to)674-685
JournalBiotechnology Journal
Volume6
Issue number6
DOIs
Publication statusPublished - 1 Jun 2011

Keywords

  • Amyloid fibrils
  • Bioinformatics
  • Protein aggregation
  • Protein folding
  • Proteomics

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