A comprehensive overview of computational protein disorder prediction methods

Xin Deng, Jesse Eickholt, Jianlin Cheng

Research output: Contribution to journalReview articlepeer-review

84 Scopus citations

Abstract

Over the past decade there has been a growing acknowledgement that a large proportion of proteins within most proteomes contain disordered regions. Disordered regions are segments of the protein chain which do not adopt a stable structure. Recognition of disordered regions in a protein is of great importance for protein structure prediction, protein structure determination and function annotation as these regions have a close relationship with protein expression and functionality. As a result, a great many protein disorder prediction methods have been developed so far. Here, we present an overview of current protein disorder prediction methods including an analysis of their advantages and shortcomings. In order to help users to select alternative tools under different circumstances, we also evaluate 23 disorder predictors on the benchmark data of the most recent round of the Critical Assessment of protein Structure Prediction (CASP) and assess their accuracy using several complementary measures.

Original languageEnglish
Pages (from-to)114-121
Number of pages8
JournalMolecular BioSystems
Volume8
Issue number1
DOIs
StatePublished - Jan 2012
Externally publishedYes

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