Predicting intrinsic disorder in proteins: An overview

Bo He, Kejun Wang, Yunlong Liu, Bin Xue, Vladimir N. Uversky, A. Keith Dunker

Research output: Contribution to journalReview article

296 Scopus citations

Abstract

The discovery of intrinsically disordered proteins (IDP) (i.e., biologically active proteins that do not possess stable secondary and/or tertiary structures) came as an unexpected surprise, as the existence of such proteins is in contradiction to the traditional sequencestructurefunction paradigm. Accurate prediction of a protein's predisposition to be intrinsically disordered is a necessary prerequisite for the further understanding of principles and mechanisms of protein folding and function, and is a key for the elaboration of a new structural and functional hierarchy of proteins. Therefore, prediction of IDPs has attracted the attention of many researchers, and a number of prediction tools have been developed. Predictions of disorder, in turn, are playing major roles in directing laboratory experiments that are leading to the discovery of ever more disordered proteins, and thereby leading to a positive feedback loop in the investigation of these proteins. In this review of algorithms for intrinsic disorder prediction, the basic concepts of various prediction methods for IDPs are summarized, the strengths and shortcomings of many of the methods are analyzed, and the difficulties and directions of future development of IDP prediction techniques are discussed.

Original languageEnglish (US)
Pages (from-to)929-949
Number of pages21
JournalCell Research
Volume19
Issue number8
DOIs
StatePublished - Aug 2009

Keywords

  • Intrinsic disorder
  • Prediction method
  • Protein

ASJC Scopus subject areas

  • Cell Biology
  • Molecular Biology

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