A Protein Interaction Map of Drosophila melanogaster
By L. Giot, Joel S. Bader, Cory R. Brouwer, Amitabha Chaudhuri, B. Kuang, Ying Li, Y. Hao, C. E. Ooi, B. Godwin, E. Vitols and 39 more. Science, 2003
2,455 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology, Pharmacology
View Paper: https://www.semanticscholar.org/paper/702974436ddcc44eb28ecc677a8a60abe88f92f2
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In Computational Theory and Mathematics
- Burkhard Rost
- Roded Sharan
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- Mark H. A. Verwoerd
- Albert-László Barabási
- Yanay Ofran
- Trey Ideker
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In Molecular Biology
- Vladimir N Uversky
- Burkhard Rost
- Roded Sharan
- Trey Ideker
- A. Keith Dunker
- K. Guan
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- Christopher J. Oldfield
In Pharmacology
- Pankaj Agarwal
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- Lars Juhl Jensen
- K. Guan
- Robert E. W. Hancock
- A. Keith Dunker
- Roded Sharan
Citations in the corpus
- Evidence for dynamically organized modularity in the yeast protein–protein interaction network (2004, background): “Presuming that a modular network organization has selective advantages for reasons of stability and flexibility, similar partitioning might uncover modularity in metazoan interactome network”
- How complete are current yeast and human protein-interaction networks? (2006, background): “These latter scores either exploit assay-specific features [46] or use simple, but surprisingly effective, statistical criteria for separating true from false-positive interactions [43,47,48].”
- RNase P without RNA: identification and functional reconstitution of the human mitochondrial tRNA processing enzyme. (2008, result): “However, in agreement with our data, an interaction of the Drosophila melanogaster homologs of RG9MTD1 and HSD17B10 was previously found in a two-hybrid screen of the fly proteome (Giot et al., 2003).”
- A proteome-wide fission yeast interactome reveals network evolution principles from yeasts to human (2016, background): “…of protein interactions to our understanding of fundamental biological processes has spurred the mapping of protein interactome networks for several organisms ( Arabidopsis Interactome Mapping Consortium, 2011; Giot et al., 2003; Rolland et al., 2014; Stelzl et al., 2005; Yu et al., 2008).”
- Predicting protein functions with message passing algorithms (2004, background): “growing number of organisms of completely sequenced genome (Uetz et al., 2000; Ito et al., 2001; Giot et al., 2003).”
- Systematic Functional Annotation and Visualization of Biological Networks (2016, background): “In contrast, most other biological networks in yeast and other organisms have a more complex structure with higher edge density and lower node modularity (Jeong et al., 2001; Giot et al., 2003; Rual et al., 2005; Yu et al., 2008; Nayak et al., 2009; Arabidopsis Interactome Mapping, 2011).”
- Graph theory and networks in Biology. (2006, background): “Work on the link between structural network properties and dynamics is also described, with emphasis on synchronization and disease propagation.”
- Drosophila long-term memory formation involves regulation of cathepsin activity (2004, background): “Although the target(s) of Cer in vivo remain(s) to be identified, a Drosophila protein–protein interactions map has recently been generated showing that Cer interacts strongly with three protein”
- Regulation of TORC1 by Rag GTPases in nutrient response (2008, result): “Consistent with results in yeast and mammalian cells, these proteins were previously found to interact in large-scale two-hybrid screen”
- Human Disease-Drug Network Based on Genomic Expression Profiles (2009, background): “Like many empirically observed biological networks such as the protein-protein interaction network [32–34], the disease-drug network is also a scale-free network whose degree distribution follows a power law (data not shown), that is, most nodes connect to only a few other nodes whereas a few nodes ”
- iRefIndex: A consolidated protein interaction database with provenance (2008, background): “The bins of interactions at lpr 11781 and 36744 (arrows) correspond to yeast two-hybrid studies of the Campylobacter jejuni [71] and Drosophila melanogaster [72] interactomes respectively.”
- Analyzing and modeling real-world phenomena with complex networks: a survey of applications (2007, background): “melanogaster[187] also present a power-law dependence for the connectivity in the protein-protein int eraction.”
- Where Have All the Interactions Gone? Estimating the Coverage of Two-Hybrid Protein Interaction Maps (2007, methodology): “Genome-scale two-hybrid screens have now been conducted for Saccharomyces cerevisiae (yeast) [2,3], Caenorhabditis elegans (worm) [4], and Drosophila melanogaster (fly) [5].”