SSEP-Domain: protein domain prediction by alignment of secondary structure elements and profiles

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SSEP-Domain: protein domain prediction by alignment of secondary structure elements and profiles

MOTIVATION The prediction of protein domains is a crucial task for functional classification, homology-based structure prediction and structural genomics. In this paper, we present the SSEP-Domain protein domain prediction approach, which is based on the application of secondary structure element alignment (SSEA) and profile-profile alignment (PPA) in combination with InterPro pattern searches....

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Protein domains are considered the basic unit of protein tertiary structure. We have developed a 1D-Recursive Neural Network (1D-RNN) called DOMpro that predicts protein domains using a combination of evolutionary information in the form of profiles and predicted secondary structure and relative solvent accessibility. DOMpro is trained and tested on a curated dataset derived from the CATH datab...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2005

ISSN: 1367-4803,1460-2059

DOI: 10.1093/bioinformatics/bti751