PinSnps: structural and functional analysis of SNPs in the context of protein interaction networks.

ABSTRACT:

Unlabelled

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.

Availability and implementati

SUBMITTER: Lu HC 

PROVIDER: S-EPMC4978923 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature