A Method for WD40 Repeat Detection and Secondary Structure Prediction

نویسندگان
چکیده

منابع مشابه

A Method for WD40 Repeat Detection and Secondary Structure Prediction

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 (WD40 repeat protein Structure Predictor) has been developed to accurately identify WD40 repeats and predict their secondary structures. The method is des...

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WDSPdb: a database for WD40-repeat proteins

WD40-repeat proteins, as one of the largest protein families, often serve as platforms to assemble functional complexes through the hotspot residues on their domain surfaces, and thus play vital roles in many biological processes. Consequently, it is highly required for researchers who study WD40 proteins and protein-protein interactions to obtain structural information of WD40 domains. Systema...

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A pentapeptide-based method for protein secondary structure prediction.

We present a new method for protein secondary structure prediction, based on the recognition of well-defined pentapeptides, in a large databank. Using a databank of 635 protein chains, we obtained a success rate of 68.6%. We show that progress is achieved when the databank is enlarged, when the 20 amino acids are adequately grouped in 10 sets and when more pentapeptides are attributed one of th...

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A Hybrid Method for Protein Secondary Structure Prediction

Protein secondary structure can be used to help determine the tertiary structure via the fold recognition. Predicting the secondary structure from the protein sequence has attracted the attention of many researchers. Support Vector Machine (SVM) is a new learning algorithm based on statistical learning theory that has been successfully applied to the protein secondary structure prediction probl...

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Extended Sequence Alignment Method for Protein Secondary Structure Prediction

Sequence alignment methods are very e ective for secondary structure prediction. However, they are only applicable when the similarity of the sequences is high enough. We previously reported that the extended sequence alignment method, which uses not only amino acid letters but also strings of amino acid letters representing motifs as comparing units, enabled us to nd common motifs even among t...

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ژورنال

عنوان ژورنال: PLoS ONE

سال: 2013

ISSN: 1932-6203

DOI: 10.1371/journal.pone.0065705