Genes2Networks: connecting lists of gene symbols using mammalian protein interactions databases

Background: In recent years, mammalian protein-protein interaction network databases have been developed. The interactions in these databases are either extracted manually from lowthroughput experimental biomedical research literature, extracted automatically from literature using techniques such as natural language processing (NLP), generated experimentally using highthroughput 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. Results: Genes2Networks is a software system that integrates the content of ten mammalian interaction network datasets. Filtering techniques to prune low-confidence interactions were implemented. Genes2Networks ...

• Type: Journal
• Year: 2007
• Where: BMCBI
• Authors: Seth I. Berger, Jeremy M. Posner, Avi Ma'ayan
• Keywords: BMCBI 2007, Interaction Network, Protein, Protein Complexes