A comprehensive two-hybrid analysis to explore the yeast protein interactome
By Takashi Ito, Tomoko Chiba, Ritsuko Ozawa, Mikio Yoshida, Masahira Hattori, Y. Sakaki. Proceedings of the National Academy of Sciences of the United States of America, 2001
3,814 citations recorded by the source corpus.
Subfields: Cell Biology, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/c74bcdf5393f8b14adda30dd178ab262ad944f48
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In Cell Biology
- Vladimir N Uversky
- Igor Jurisica
- Anna R. Panchenko
- Benjamin A. Shoemaker
- Jacques van Helden
- Sylvain Brohée
- Trey Ideker
- Roded Sharan
In Molecular Biology
- Vladimir N Uversky
- Trey Ideker
- Roded Sharan
- Bernhard O. Palsson
- A. Keith Dunker
- Haiyuan Yu
- Igor Jurisica
- Albert-László Barabási
Citations in the corpus
- Exploring genetic interactions and networks with yeast (2007, neutral): “The physical-interaction map, generated by large-scale two-hybri”
- Why Do Hubs in the Yeast Protein Interaction Network Tend To Be Essential: Reexamining the Connection between the Network Topology and Essentiality (2008, background): “[15] and contains high-confidence interactions that were experimentally detected at least three times.”
- Protein-Protein Interaction Detection: Methods and Analysis (2014, background): “Both domains are required for the transcription of a reporter gene [25].”
- An experimentally derived confidence score for binary protein-protein interactions (2008, positive): “The frequency with which interactions are found in HT datasets has been used to inform error models for the combined data7.”
- A human protein-protein interaction network: a resource for annotating the proteome. (2005, neutral): “cerevisiae (Ito et al., 2001; Uetz et al., 2000), C.”
- FunSpec: a web-based cluster interpreter for yeast (2002, background): “In addition, there are now mass stores of high-throughput biological data accumulating from experimental results such as synthetic lethal [13], protein interactions by yeast two hybrid [14, 15] or mass spectrometry [16, 17], immunolocalization [18], large-scale phenotypic analysis [19], and microarr”
- Flexible nets: disorder and induced fit in the associations of p53 and 14-3-3 with their partners (2008, background): “Also, network coverage to date [21,21-24] is not sufficient to prove scale-free architecture [25].”
- Comparative Genomics in Eukaryotes (2005, methodology): “Using a restrictive measure of orthology, such as best bidirectional hits, there are 33 and 45 conserved interactions between the D. melanogaster and the Uetz dataset (Uetz et al., 2000) and between D. melanogaster and Ito (Ito et al., 2001) dataset, respectively.”
- FlyMine: an integrated database for Drosophila and Anopheles genomics (2007, neutral): “cerevisiae IntAct [65-74]*”
- Inferring domain-domain interactions from protein-protein interactions (2002, methodology): “ Ito et al. (2001a) used a similar method and reported 4549 interactions among 3278 proteins.”
- Deep learning in bioinformatics: introduction, application, and perspective in big data era (2019, background): “Recently, because the development of large-scale PPI screening techniques, such as the yeast two-hybrid assay [63], the amount of PPI data has increased greatly.”