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A Method for WD40 Repeat Detection and Secondary Structure Prediction
Author(s) -
Yang Wang,
Fan Jiang,
Zhu Zhuo,
Xianhui Wu,
YunDong Wu
Publication year - 2013
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0065705
Subject(s) - protein secondary structure , computational biology , protein structure prediction , protein structure , loop modeling , protein family , protein domain , genetics , structural bioinformatics , biology , bioinformatics , computer science , biochemistry , gene
WD40-repeat proteins (WD40s), as one of the largest protein families in eukaryotes, play vital roles in assembling protein-protein/DNA/RNA complexes. WD40s fold into similar β-propeller structures despite diversified sequences. A program WDSP ( WD 40 repeat protein S tructure P redictor) has been developed to accurately identify WD40 repeats and predict their secondary structures. The method is designed specifically for WD40 proteins by incorporating both local residue information and non-local family-specific structural features. It overcomes the problem of highly diversified protein sequences and variable loops. In addition, WDSP achieves a better prediction in identifying multiple WD40-domain proteins by taking the global combination of repeats into consideration. In secondary structure prediction, the average Q3 accuracy of WDSP in jack-knife test reaches 93.7%. A disease related protein LRRK2 was used as a representive example to demonstrate the structure prediction.

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