Predicting kinase substrates using conservation of local motif density

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Predicting kinase substrates using conservation of local motif density

MOTIVATION Protein kinases represent critical links in cell signaling. A central problem in computational biology is to systematically identify their substrates. RESULTS This study introduces a new method to predict kinase substrates by extracting evolutionary information from multiple sequence alignments in a manner that is tolerant to degenerate motif positioning. Given a known consensus, t...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2012

ISSN: 1460-2059,1367-4803

DOI: 10.1093/bioinformatics/bts060