SNAP - Prediction of nsSNP Functional Effects

snap logoSNAP is a neural-network based method that uses in silico derived protein information (e.g. secondary structure, conservation, solvent accessibility, etc.) in order to make predictions regarding functionality of mutated proteins. The network takes protein sequences and lists of mutants as input, returning a score for each substitution. These scores can then be translated into binary predictions of effect (present/absent) and reliability indices (RI). SNAP: predict effect of non-synonymous polymorphisms on function. Yana Bromberg and Burkhard Rost. Nucleic Acids Research, 2007, Vol. 35, No. 11 3823-3835 (PubMed)

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