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

Nat Methods. 2017 Jan;14(1):61-64. doi: 10.1038/nmeth.4083. Epub 2016 Nov 28.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Computational Biology / methods*
  • Data Interpretation, Statistical*
  • Databases, Protein
  • Gene Regulatory Networks*
  • Genome, Human
  • Genomics / methods*
  • Humans
  • Neoplasms / genetics*
  • Neoplasms / metabolism*
  • Protein Interaction Maps / genetics*
  • User-Computer Interface