Protein interaction mapping in C. elegans using proteins involved in vulval development.

By A. Walhout, Raffaella Sordella, Xiaowei Lu, J. Hartley, G. Temple, M. Brasch, Nicolas Thierry-Mieg, Marc Vidal. Science, 2000

806 citations recorded by the source corpus.

Subfields: Aging, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/7d79f8d30c2637374cd0d9b7c1888ea376c59631

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Citations in the corpus

STRING v9.1: protein-protein interaction networks, with increased coverage and integration (2012, neutral): “The term ‘interologs’ was coined for such pairs, a combination of the words ‘inter-action’ and ‘ortholog’ (40).”
Interactome: gateway into systems biology. (2005, background): “Initial efforts focused on defined biological processes or ‘modules’ for the yeast Saccharomyces cerevisiae and the worm Caenorhabditis elegans (4,5).”
Towards a proteome-scale map of the human protein–protein interaction network (2005, background): “In addition, CCSB-HI1 interactions are more enriched than would be expected by chance for (1) presence of a common upstream DNA sequence that is conserved across human, mouse, rat and dog genomes(22) (P 1⁄4 1 £ 10(24)), (2) orthologous genes in mouse having a specific phenotype in common(23) (P 1⁄4 ”
Who's your neighbor? New computational approaches for functional genomics (2000, background): “First, only for 374 proteins (15% of the uncharacterized protein set), “high confidence” functional links (those based on phylogenetic profiles or on more than one prediction approach) were obtaine”
A human protein-protein interaction network: a resource for annotating the proteome. (2005, neutral): “3, 4, and 5). Subsumed in these sets were 35 truly conserved interactions–interologs (Matthews et al., 2001; Walhout et al., 2000 ).”
A human phenome-interactome network of protein complexes implicated in genetic disorders (2007, background): “All human data were pooled, and to increase the coverage of interactions, interolog data (the transfer of protein interactions between orthologous protein pairs in different organisms”
Bio::Homology::InterologWalk - A Perl module to build putative protein-protein interaction networks through interolog mapping (2011, background): “Such conserved interaction pairs are called ‘interologs’ [14,15].”
Deciphering Protein–Protein Interactions. Part I. Experimental Techniques and Databases (2007, background): “The interaction map analyses and comparisons are based on the observation that many interactions are conserved among species (‘‘interologs’’) [46].”
Identification of potential interaction networks using sequence-based searches for conserved protein-protein interactions or "interologs". (2001, methodology): “By comparison, an average of five interactors per bait typically is obtained using a worm AD-cDNA library representing ∼ 19,000 genes (2.6 (cid:1) 10 (cid:2) 4 ) (Walhout et al. 2000a; Davy et al. 2001).”
STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets (2018, methodology): “For the latter transfer, the ‘interolog’ concept is applied (42,43); STRING uses hierarchically arranged orthologous group relations as A typical association network in STRING.”
Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network (2003, background): “Large-scale studies of protein-protein interactions have been carried out in several organisms to establish interaction maps and to decipher protein function [9-16].”
The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible (2016, background): “This so-called ‘interolog’ transfer (38,39) is based on the observation that orthologs of interacting proteins in one organism are often also interacting in another organism – this inference is the more confident the better the orthology relationships can be established.”
Predicting protein‐protein interactions through sequence‐based deep learning (2018, background): “Presuming that large numbers of physically interacting proteins in one organism have evolved in a correlated fashion, their respective orthologs in other organisms also interact (Walhout, 2000).”