We have developed a number of methods for the analysis of the effects of mutations on protein structure and function:

SAAPdap/SAAPpred

Single Amino Acid Polymorphism data analysis pipeline: SAAPdap looks at the local structural effects of a mutation.
Single Amino Acid Polymorphism predictor: SAAPpred uses the output from SAAPdap to predict whether the mutation will be functionally damaging (i.e. pathogenic). Note you will be taken to the SAAPdap page to run that first.

SAAPdb

Single Amino Acid Polymorphism data base: SAAPdb was a pre-calculated database of the local effects of both pathogenic mutations (PDs) and phenotypically silent mutations (i.e. true SNPs). This has been replaced by SAAPdap and is no longer maintained but the data may be downloaded.

G6PDdb

A pre-calculated database of the local effects of mutations in Glucose-6-Phosphate Dehydrogenase (G6PD). Note that the data in this resource have not been updated since 2004.

p53

Data to support our paper on the analysis of mutations in p53