Genes2Networks: connecting lists of gene symbols using mammalian protein interactions databases |
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Authors: | Seth I Berger Jeremy M Posner Avi Ma'ayan |
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Institution: | (1) Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, 10029, USA |
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Abstract: | Background In recent years, mammalian protein-protein interaction network databases have been developed. The interactions in these databases
are either extracted manually from low-throughput experimental biomedical research literature, extracted automatically from
literature using techniques such as natural language processing (NLP), generated experimentally using high-throughput methods
such as yeast-2-hybrid screens, or interactions are predicted using an assortment of computational approaches. Genes or proteins
identified as significantly changing in proteomic experiments, or identified as susceptibility disease genes in genomic studies,
can be placed in the context of protein interaction networks in order to assign these genes and proteins to pathways and protein
complexes. |
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Keywords: | |
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