SNPViz - Visualization of SNPs in proteins
In personalized medicine, SNPs are used to identify specific diseases of a patient. However, for many SNPs, no information about the pathogenicity is available. Current programs try to predict the effect of a SNP on the function of a protein, but give no possibility for visual interpretation. We have developed SNPViz, a program that first finds 3D structures of affected proteins and then highlights the affected amino acid in the 3D structure. This can give researchers and doctors more information about the probable pathogenicity of the SNP. In the future, we plan to add also further information, such as whether the position of the SNP is in a binding domain, or is involved in a protein-protein interaction.
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles are published under a Creative Commons Attribution License 4.0.