Single nucleotide polymorphisms (SNPs) are, together with copy number variation, the primary source of variation in the human genome. SNPs are associated with altered response to drug treatment, susceptibility to disease, and other phenotypic variation. Furthermore, during genetic screens for disease-associated mutations in groups of patients and control individuals, the distinction between disease causing mutations and polymorphisms is often unclear. Annotation of the functional and structural implications of single nucleotide changes thus provides valuable information to interpret and guide experiments.
SNPeffect is a database of non-synonymous SNPs and their predicted effect on the functional and physicochemical properties of the affected proteins. More precisely, SNPeffect analyses the effect of coding, non-synonymous SNPs on 3 categories of functional and physico-chemical properties of the affected proteins, namely protein structure and dynamics [stability, aggregation, dynamics, etc.], integrity of functional sites and cellular processing.
SNPeffect was originally developed by Joost Schymkowitz and Frederic Rousseau and their team at the SWITCH Laboratory of VIB in Brussels, Belgium, in collaboration with Luis Serrano and his team at the European Molecular Biology Laboratory in Heidelberg, Germany.
