SNPViz - Visualization of SNPs in proteins

  • Alexander Seitz University of Tübingen
  • Tobias Koch University of Tübingen
  • Kay Nieselt University of Tübingen

Abstract

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.

Published
2017-12-06
How to Cite
SEITZ, Alexander; KOCH, Tobias; NIESELT, Kay. SNPViz - Visualization of SNPs in proteins. Genomics and Computational Biology, [S.l.], v. 4, n. 1, p. e100048, dec. 2017. ISSN 2365-7154. Available at: <https://genomicscomputbiol.org/ojs3/GCB/article/view/48>. Date accessed: 30 july 2021. doi: https://doi.org/10.18547/gcb.2018.vol4.iss1.e100048.
Section
Short Communications