A scored human protein-protein interaction network to catalyze genomic interpretation

Li Taibo; Wernersson Rasmus; Hansen Rasmus B; Horn Heiko; Mercer Johnathan; Slodkowicz Greg; Workman Christopher T; Rigina Olga; Rapacki Kristoffer; Staerfeldt Hans H; Brunak Soren; Jensen Thomas S; Lage Kasper

doi:10.1038/NM.4083

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A scored human protein-protein interaction network to catalyze genomic interpretation

作者：Li Taibo; Wernersson Rasmus; Hansen Rasmus B; Horn Heiko; Mercer Johnathan; Slodkowicz Greg; Workman Christopher T; Rigina Olga; Rapacki Kristoffer; Staerfeldt Hans H; Brunak Soren; Jensen Thomas S; Lage Kasper

来源：Nature Methods, 2017, 14(1): 61-64.

DOI：10.1038/NM.4083

摘要

Genome-scale human protein-protein interaction networks are critical to understanding cell biology and interpreting genomic data, but challenging to produce experimentally. Through data integration and quality control, we provide a scored human protein-protein interaction network (InWeb_InBioMap, or InWeb_IM) with severalfold more interactions (>500,000) and better functional biological relevance than comparable resources. We illustrate that InWeb_InBioMap enables functional interpretation of >4,700 cancer genomes and genes involved in autism.