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Identification of Potential Interaction Networks Using Sequence-Based Searches for Conserved Protein-Protein Interactions or “Interologs”
Author(s) -
Lisa Matthews,
Philippe Vaglio,
Jérôme Reboul,
Hui Ming Ge,
Brian Davis,
James I. Garrels,
Sylvie Vincent,
Marc Vidal
Publication year - 2001
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.205301
Subject(s) - biology , computational biology , protein–protein interaction , crosstalk , protein interaction networks , identification (biology) , sequence (biology) , interaction network , conserved sequence , protein sequencing , genetics , genome , sequence alignment , evolutionary biology , peptide sequence , gene , ecology , physics , optics
Protein interaction maps have provided insight into the relationships among the predicted proteins of model organisms for which a genome sequence is available. These maps have been useful in generating potential interaction networks, which have confirmed the existence of known complexes and pathways and have suggested the existence of new complexes and or crosstalk between previously unlinked pathways. However, the generation of such maps is costly and labor intensive. Here, we investigate the extent to which a protein interaction map generated in one species can be used to predict interactions in another species.

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