This web server aims to predict if a missense mutation in a transmembrane region of a membrane protein is likely to affect the structure and/or function of a protein and consequently being damaging. The predictive algorithm is based on the entropy of the mutated position, the frequency of the non-mutated amino acid and the frequency of the mutated aminoacid computed from PFAM multiple sequence alignments and also on the score associated to the amino acid change. Comparison to existing mutation server shows that TMSNP improves the specificity, although loosing sensitivity in the prediction if a SNP is damaging or not in a membrane protein.
Next you can found some examples:
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García Recio, Adrián adrian.garcia.recio@gmail.com |