Protein networks in disease.
During a decade of proof-of-principle analysis in model organisms, protein networks have been used to further the study of molecular evolution, to gain insight into the robustness of cells to perturbation, and for assignment of new protein functions. Following these analyses, and with the recent rise of protein interaction measurements in mammals, protein networks are increasingly serving as tools to unravel the molecular basis of disease. We review promising applications of protein networks to disease in four major areas: identifying new disease genes; the study of their network properties; identifying disease-related subnetworks; and network-based disease classification. Applications in infectious disease, personalized medicine, and pharmacology are also forthcoming as the available protein network information improves in quality and coverage.
Ideker
Trey
T
Department of Bioengineering, University of California at San Diego, La Jolla, California 92093, USA.
Sharan
Roded
R
D016022:Case-Control Studies; D004194:Disease / Q000145:classification; D005656:Fungal Proteins / Q000378:metabolism; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D030342:Genetic Diseases, Inborn / Q000235:genetics; D020022:Genetic Predisposition to Disease; D006801:Humans; D006816:Huntington Disease / Q000378:metabolism; D010641:Phenotype; D025941:Protein Interaction Mapping; D015003:Yeasts / Q000378:metabolism
D005656:Fungal Proteins