Identification of novel peptide hormones in the human proteome by hidden Markov model screening.

ABSTRACT: Peptide hormones are small, processed, and secreted peptides that signal via membrane receptors and play critical roles in normal and pathological physiology. The search for novel peptide hormones has been hampered by their small size, low or restricted expression, and lack of sequence similarity. To overcome these difficulties, we developed a bioinformatics search tool based on the hidden Markov model formalism that uses several peptide hormone sequence features to estimate the likelihood that a protein contains a processed and secreted peptide of this class. Application of this tool to an alignment of mammalian proteomes ranked 90% of known peptide hormones among the top 300 proteins. An analysis of the top scoring hypothetical and poorly annotated human proteins identified two novel can

SUBMITTER: Mirabeau O 

PROVIDER: S-EPMC1800923 | biostudies-literature | 2007 Mar

REPOSITORIES: biostudies-literature