Bayesian Modeling of the Yeast SH3 Domain Interactome Predicts Spatiotemporal Dynamics of Endocytosis Proteins
Bayesian Modeling of the Yeast SH3 Domain Interactome Predicts Spatiotemporal Dynamics of Endocytosis Proteins
SH3 domains are peptide recognition modules that mediate the assembly of diverse biological complexes. We scanned billions of phage-displayed peptides to map the binding specificities of the SH3 domain family in the budding yeast, Saccharomyces cerevisiae. Although most of the SH3 domains fall into the canonical classes I and II, each domain utilizes distinct features of its cognate ligands to achieve binding selectivity. Furthermore, we uncovered several SH3 domains with specificity profiles that clearly deviate from the two canonical classes. In conjunction with phage display, we used yeast two-hybrid and peptide array screening to independently identify SH3 domain binding partners. The results from the three complementary techniques were integrated using a Bayesian algorithm to generate a high-confidence yeast SH3 domain interaction map. The interaction map was enriched for proteins involved in endocytosis, revealing a set of SH3-mediated interactions that underlie formation of protein complexes essential to this biological pathway. We used the SH3 domain interaction network to predict the dynamic localization of several previously uncharacterized endocytic proteins, and our analysis suggests a novel role for the SH3 domains of Lsb3p and Lsb4p as hubs that recruit and assemble several endocytic complexes.
- University of Toronto Canada
- University of Rome Tor Vergata Italy
- University of Calabria Italy
- University of Strasbourg France
- Harvard University United States
Models, Molecular, 570, Saccharomyces cerevisiae Proteins, QH301-705.5, Settore BIO/18 - GENETICA, src Homology Domain, Ligand, Saccharomyces cerevisiae, Ligands, Two-Hybrid System Technique, src Homology Domains, Models, Peptide Library, Gene Expression Regulation, Fungal, Two-Hybrid System Techniques, Protein Interaction Mapping, Biology (General), Endocytosi, Microfilament Proteins, Molecular, Bayes Theorem, Microfilament Protein, Endocytosis, Algorithm, Fungal, Gene Expression Regulation, Saccharomyces cerevisiae; Saccharomyces cerevisiae Proteins; src Homology Domains; Endocytosis; Carrier Proteins; Two-Hybrid System Techniques; Gene Expression Regulation, Fungal; Models, Molecular; Peptide Library; Protein Interaction Mapping; Bayes Theorem; Microfilament Proteins; Algorithms; Ligands; Protein Binding, Carrier Protein, Carrier Proteins, Saccharomyces cerevisiae Protein, Algorithms, Research Article, Protein Binding
Models, Molecular, 570, Saccharomyces cerevisiae Proteins, QH301-705.5, Settore BIO/18 - GENETICA, src Homology Domain, Ligand, Saccharomyces cerevisiae, Ligands, Two-Hybrid System Technique, src Homology Domains, Models, Peptide Library, Gene Expression Regulation, Fungal, Two-Hybrid System Techniques, Protein Interaction Mapping, Biology (General), Endocytosi, Microfilament Proteins, Molecular, Bayes Theorem, Microfilament Protein, Endocytosis, Algorithm, Fungal, Gene Expression Regulation, Saccharomyces cerevisiae; Saccharomyces cerevisiae Proteins; src Homology Domains; Endocytosis; Carrier Proteins; Two-Hybrid System Techniques; Gene Expression Regulation, Fungal; Models, Molecular; Peptide Library; Protein Interaction Mapping; Bayes Theorem; Microfilament Proteins; Algorithms; Ligands; Protein Binding, Carrier Protein, Carrier Proteins, Saccharomyces cerevisiae Protein, Algorithms, Research Article, Protein Binding
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