High-Quality Binary Protein Interaction Map of the Yeast Interactome Network
Harvard University · Ghent University · +6 more institutions
Abstract
Current yeast interactome network maps contain several hundred molecular complexes with limited and somewhat controversial representation of direct binary interactions. We carried out a comparative quality assessment of current yeast interactome data sets, demonstrating that high-throughput yeast two-hybrid (Y2H) screening provides high-quality binary interaction information. Because a large fraction of the yeast binary interactome remains to be mapped, we developed an empirically controlled mapping framework to produce a "second-generation" high-quality, high-throughput Y2H data set covering approximately 20% of all yeast binary interactions. Both Y2H and affinity purification followed by mass spectrometry…
Citation impact
- FWCI
- 52.92
- Percentile
- 100%
- References
- 45
Authors
34- HYHaiyuan YuCorresponding
Harvard University, Ghent University, Institute for Advanced Study, Dana-Farber Cancer Institute
- PFPascal Falter‐BraunCorresponding
Harvard University, Ghent University, Institute for Advanced Study, Dana-Farber Cancer Institute
- MAMuhammed A. YıldırımCorresponding
Harvard University, Ghent University, Institute for Advanced Study, Dana-Farber Cancer Institute
- ILIrma Lemmens
Harvard University, Ghent University, Institute for Advanced Study, Dana-Farber Cancer Institute, VIB-UGent Center for Medical Biotechnology
- KVK. Venkatesan
Harvard University, Ghent University, Institute for Advanced Study, Dana-Farber Cancer Institute
Topics & keywords
- Interactome
- Binary number
- Computational biology
- Yeast
- Computer science
- Cluster analysis
- Saccharomyces cerevisiae
- Data mining