A comprehensive overview of computational protein disorder prediction methods.

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.

journal_name

Mol Biosyst

journal_title

Molecular bioSystems

authors

Deng X,Eickholt J,Cheng J

doi

10.1039/c1mb05207a

subject

Has Abstract

pub_date

2012-01-01 00:00:00

pages

114-21

issue

1

eissn

1742-206X

issn

1742-2051

journal_volume

8

pub_type

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