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Physical host‐pathogen networks
Author(s) -
Krogan Nevan
Publication year - 2012
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.26.1_supplement.89.1
Subject(s) - epistasis , pairwise comparison , host (biology) , computational biology , budding yeast , gene , biology , human immunodeficiency virus (hiv) , yeast , genetics , saccharomyces cerevisiae , computer science , artificial intelligence , virology
Pathways and complexes can be considered fundamental units of cell biology, but their relationship to each other is difficult to define. Comprehensive tagging and purification experiments have generated networks of interactions that represent most stable protein complexes. We describe this work in various organisms, including budding yeast and in infectious organisms like HIV and TB, and show how the analysis of pairwise epistatic relationships between genes complements the physical interaction data, and furthermore can be used to classify gene products into parallel and linear pathways.