| Literature DB >> 28159843 |
Anita Palma1, Michele Tinti1, Serena Paoluzi1, Elena Santonico1, Bernd Willem Brandt2, Rob Hooft van Huijsduijnen3, Antonia Masch4, Jaap Heringa2, Mike Schutkowski4, Luisa Castagnoli1, Gianni Cesareni5.
Abstract
Reversible tyrosine phosphorylation is a widespread post-translational modification mechanism underlying cell physiology. Thus, understanding the mechanisms responsible for substrate selection by kinases and phosphatases is central to our ability to model signal transduction at a system level. Classical protein-tyrosine phosphatases can exhibit substrate specificity in vivo by combining intrinsic enzymatic specificity with the network of protein-protein interactions, which positions the enzymes in close proximity to their substrates. Here we use a high throughput approach, based on high density phosphopeptide chips, to determine the in vitro substrate preference of 16 members of the protein-tyrosine phosphatase family. This approach helped identify one residue in the substrate binding pocket of the phosphatase domain that confers specificity for phosphopeptides in a specific sequence context. We also present a Bayesian model that combines intrinsic enzymatic specificity and interaction information in the context of the human protein interaction network to infer new phosphatase substrates at the proteome level.Entities:
Keywords: Bayesian integration; peptide array; protein-protein interaction; recognition specificity; substrate specificity; systems biology; trapping mutants; tyrosine-protein phosphatase (tyrosine phosphatase)
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Year: 2017 PMID: 28159843 PMCID: PMC5377807 DOI: 10.1074/jbc.M116.757518
Source DB: PubMed Journal: J Biol Chem ISSN: 0021-9258 Impact factor: 5.157