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  • 1
    Publication Date: 2001-12-18
    Description: Peptide recognition modules mediate many protein-protein interactions critical for the assembly of macromolecular complexes. Complete genome sequences have revealed thousands of these domains, requiring improved methods for identifying their physiologically relevant binding partners. We have developed a strategy combining computational prediction of interactions from phage-display ligand consensus sequences with large-scale two-hybrid physical interaction tests. Application to yeast SH3 domains generated a phage-display network containing 394 interactions among 206 proteins and a two-hybrid network containing 233 interactions among 145 proteins. Graph theoretic analysis identified 59 highly likely interactions common to both networks. Las17 (Bee1), a member of the Wiskott-Aldrich Syndrome protein (WASP) family of actin-assembly proteins, showed multiple SH3 interactions, many of which were confirmed in vivo by coimmunoprecipitation.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tong, Amy Hin Yan -- Drees, Becky -- Nardelli, Giuliano -- Bader, Gary D -- Brannetti, Barbara -- Castagnoli, Luisa -- Evangelista, Marie -- Ferracuti, Silvia -- Nelson, Bryce -- Paoluzi, Serena -- Quondam, Michele -- Zucconi, Adriana -- Hogue, Christopher W V -- Fields, Stanley -- Boone, Charles -- Cesareni, Gianni -- P41 RR11823/RR/NCRR NIH HHS/ -- New York, N.Y. -- Science. 2002 Jan 11;295(5553):321-4. Epub 2001 Dec 13.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Banting and Best Department of Medical Research and Department of Molecular and Medical Genetics, University of Toronto, Toronto, Ontario, Canada M5G 1L6.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11743162" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Amino Acid Motifs ; Amino Acid Sequence ; Binding Sites ; *Computational Biology ; Consensus Sequence ; *Cytoskeletal Proteins ; Databases, Genetic ; Databases, Protein ; Fungal Proteins/chemistry/metabolism ; Ligands ; Molecular Sequence Data ; Peptide Library ; Peptides/chemistry/metabolism ; Protein Binding ; Protein Structure, Tertiary ; Proteins/*chemistry/*metabolism ; *Proteome ; Saccharomyces cerevisiae/chemistry/genetics ; Saccharomyces cerevisiae Proteins/*chemistry/genetics/*metabolism ; Software ; Two-Hybrid System Techniques ; Wiskott-Aldrich Syndrome Protein ; src Homology Domains
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2009-07-11
    Description: John Nash showed that within a complex system, individuals are best off if they make the best decision that they can, taking into account the decisions of the other individuals. Here, we investigate whether similar principles influence the evolution of signaling networks in multicellular animals. Specifically, by analyzing a set of metazoan species we observed a striking negative correlation of genomically encoded tyrosine content with biological complexity (as measured by the number of cell types in each organism). We discuss how this observed tyrosine loss correlates with the expansion of tyrosine kinases in the evolution of the metazoan lineage and how it may relate to the optimization of signaling systems in multicellular animals. We propose that this phenomenon illustrates genome-wide adaptive evolution to accommodate beneficial genetic perturbation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3066034/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3066034/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tan, Chris Soon Heng -- Pasculescu, Adrian -- Lim, Wendell A -- Pawson, Tony -- Bader, Gary D -- Linding, Rune -- R01 GM055040/GM/NIGMS NIH HHS/ -- R01 GM055040-11/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2009 Sep 25;325(5948):1686-8. doi: 10.1126/science.1174301. Epub 2009 Jul 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto M5G 1X5, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19589966" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological ; Animals ; *Biological Evolution ; *Evolution, Molecular ; Fungal Proteins/chemistry/metabolism ; Glycosylation ; Humans ; Methylation ; Mutation ; Phosphorylation ; Phosphotyrosine/metabolism ; Protein Structure, Tertiary ; Protein-Tyrosine Kinases/*metabolism ; Proteins/*chemistry/*metabolism ; *Selection, Genetic ; *Signal Transduction ; Substrate Specificity ; Tyrosine/*metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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