title: PinSnps: structural and functional analysis of SNPs in the context of protein interaction networks.
abstract: We present a practical computational pipeline to readily perform data analyses of protein-protein interaction networks by using genetic and functional information mapped onto protein structures. We provide a 3D representation of the available protein structure and its regions (surface, interface, core and disordered) for the selected genetic variants and/or SNPs, and a prediction of the mutants' impact on the protein as measured by a range of methods. We have mapped in total 2587 genetic disorder-related SNPs from OMIM, 587 873 cancer-related variants from COSMIC, and 1 484 045 SNPs from dbSNP. All result data can be downloaded by the user together with an R-script to compute the enrichment of SNPs/variants in selected structural regions.
  
  
  
  PinSnps is available as open-access service at http://fraternalilab.kcl.ac.uk/PinSnps/
  
  
  
  franca.fraternali@kcl.ac.uk
  
  
  
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Randall Division of Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.
authors.forename: Hui-Chun
authors.initials: HC
authors.lastname: Lu
authors.affiliation: Randall Division of Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.
authors.forename: Julián
authors.initials: J
authors.lastname: Herrera Braga
authors.affiliation: Randall Division of Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.
authors.forename: Franca
authors.initials: F
authors.lastname: Fraternali
mesh_terms: D019295:Computational Biology; D014644:Genetic Variation; D006801:Humans; D020641:Polymorphism, Single Nucleotide; D060066:Protein Interaction Maps; D011506:Proteins; D012984:Software
chemical_list: D011506:Proteins