Mapping Plant Interactomes Using Literature Curated and Predicted Protein–Protein Interaction Data Sets
Author(s) -
KiYoung Lee,
David Thorneycroft,
Premanand Achuthan,
Henning Hermjakob,
Trey Ideker
Publication year - 2010
Publication title -
the plant cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.324
H-Index - 341
eISSN - 1532-298X
pISSN - 1040-4651
DOI - 10.1105/tpc.109.072736
Subject(s) - proteome , biology , computational biology , protein–protein interaction , arabidopsis , function (biology) , arabidopsis thaliana , interaction network , interactome , set (abstract data type) , protein function , bioinformatics , genetics , computer science , gene , mutant , programming language
Most cellular processes are enabled by cohorts of interacting proteins that form dynamic networks within the plant proteome. The study of these networks can provide insight into protein function and provide new avenues for research. This article informs the plant science community of the currently available sources of protein interaction data and discusses how they can be useful to researchers. Using our recently curated IntAct Arabidopsis thaliana protein-protein interaction data set as an example, we discuss potentials and limitations of the plant interactomes generated to date. In addition, we present our efforts to add value to the interaction data by using them to seed a proteome-wide map of predicted protein subcellular locations.
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