期刊
BIOINFORMATICS
卷 32, 期 16, 页码 2534-2536出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btw153
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资金
- BBSRC [BB/H018409/1] Funding Source: UKRI
- MRC [MR/L01257X/1] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BB/H018409/1] Funding Source: researchfish
- Medical Research Council [MR/L01257X/1] Funding Source: researchfish
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.
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