Protein Variants in Cancer-Related Genes: Comparison
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Please note this is a comparison between Version 2 by Karina Chen and Version 1 by Roberta Chiaraluce.

Large scale genome sequencing allowed the identification of a massive number of genetic variations, whose impact on human health is still unknown. In this entry we analyze, by an in silico-based strategy, the impact of missense variants on cancer-related genes, whose effect on protein stability and function was experimentally determined. We collected a set of 164 variants from 11 proteins to analyze the impact of missense mutations at structural and functional levels, and to assess the performance of state-of-the-art methods (FoldX and Meta-SNP) for predicting protein stability change and pathogenicity. 

  • protein structure
  • protein stability
  • protein function
  • single amino acid variant
  • putative cancer driving variant
  • free-energy change
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