A network of protein–protein interactions in yeast

By Benno Schwikowski, Peter Uetz, Stanley Fields. Nature Biotechnology, 2000

1,403 citations recorded by the source corpus.

Subfields: Cell Biology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/85308a6a42a53dac5776a5709f00eb14d381dcd5

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Citations in the corpus

STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data (2015, background): “The role of small molecules in biological systems can be understood only in the relation to the function of the targeted biomolecules, which, in turn, is largely defined by their interaction partners (1–3).”
Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps (2005, methodology): “We consider all neighboring proteins and sum up the number of times each annotation occurs for each protein as described in Schwikowski et al. (2000).”
Global protein function prediction in protein-protein interaction networks (2003, background): “[7] and it contains N = 1826 proteins with E = 2238 identiﬁed interactions.”
How reliable are experimental protein-protein interaction data? (2003, neutral): “sharing a common cellular-role.(2) Previous studies had used these two properties only”
PDZ Domain Proteins: Plug and Play! (2003, background): “A cell-wide study of yeast interactions found that a single large network of 2358 interactions between 1538 proteins was made, and the next largest network contained only 19 proteins ( 89 , 90 ).”
Prioritizing candidate disease genes by network-based boosting of genome-wide association data. (2011, background): “The first are two methods that consider only direct network neighbors: (1) neighbor counting (Schwikowski et al. 2000), in which the genes with the most neighbors already linked to the disease are most highly scored, and (2) naive Bayes label propagation, in which the sum of the HumanNet linkages to”
Current approaches to gene regulatory network modelling (2007, background): “A widely studied type of molecular network of a different type is the protein-protein interaction network, where the nodes represent proteins and two proteins are connected by an undirected edge, if they bind to each other (Figure 2) [22].”
Relating whole-genome expression data with protein-protein interactions. (2002, background): “The right panel shows the distribution for the aggregated data sets of protein-protein interactions (Y2H is yeast two-hybrid) (Bader and Hogue 2000; Cagney et al. 2000; Fellenberg et al. 2000; Ito et al. 2000; Schwikowski et al. 2000; Uetz et al. 2000; Uetz and Hughes 2000; Xenarios 2000; Ito et al.”
Data Mining Techniques for the Life Sciences (2010, background): “(62) did a global analysis of the interactions in yeast and registered 2,358 interactions among 1,548 proteins.”
Interactome: gateway into systems biology. (2005, background): “…to date have been identiﬁed (74,124,125), the proteome-scale screens done so far have nevertheless connected hundreds of uncharacterized proteins to well-characterized partners (52,126–128), thereby circumventing inspection bias somewhat and providing preliminary evidence for functional annotation.”
Adaptive computation and machine learning (1998, methodology): “For instance, an edge set can represent multiple data sources, Graph fusion physical interactions of the proteins (Schwikowski et al., 2000; Uetz et al., 2000; von Mering et al., 2002), gene regulatory relationships (Lee et al.”
A new approach to decoding life: systems biology. (2001, methodology): “For this purpose, we compiled a list of 3026 previously observed physical interactions, using all available entries from publicly available databases of protein-protein (105) and protein-DNA interactions (133, 142).”