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Bayesian Modeling of the Yeast SH3 Domain Interactome Predicts Spatiotemporal Dynamics of Endocytosis Proteins
Author(s) -
Raffi Tonikian,
Xiaofeng Xin,
Christopher P. Toret,
David Gfeller,
Christiane Landgraf,
Simona Panni,
Serena Paoluzi,
Luisa Castagnoli,
Bridget Currell,
Somasekar Seshagiri,
Haiyuan Yu,
Barbara Winsor,
Marc Vidal,
Mark Gerstein,
Gary D. Bader,
Rudolf Volkmer,
Gianni Cesareni,
David G. Drubin,
Philip M. Kim,
Sachdev S. Sidhu,
Charles Boone
Publication year - 2009
Publication title -
plos biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.127
H-Index - 271
eISSN - 1545-7885
pISSN - 1544-9173
DOI - 10.1371/journal.pbio.1000218
Subject(s) - interactome , biology , endocytosis , sh3 domain , yeast , computational biology , domain (mathematical analysis) , protein–protein interaction , genetics , gene , signal transduction , proto oncogene tyrosine protein kinase src , cell , mathematical analysis , mathematics
A genome-scale specificity and interaction map for yeast SH3 domain-containing proteins reveal how family members show selective binding to target proteins and predicts the dynamic localization of new candidate endocytosis proteins.

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