한빛사논문
Abstract
KiYoung Lee1*, David Thorneycroft 2, Premanand Achuthan 2, Henning Hermjakob 2, and Trey Ideker 3
1 Department of Biomedical Informatics, Ajou University School of Medicine, Suwon 443-749, Korea; Departments of Medicine and Bioengineering, University of California at San Diego, La Jolla, California 92093
2 European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge CB10 1SD, United Kingdom
3 Departments of Medicine and Bioengineering, University of California at San Diego, La Jolla, California 92093
* To whom correspondence should be addressed.
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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