Amino acid substitutions can have many consequences (on protein stability / activity / folding / splicing / ...). If you want to do complex analysis, I recommend you to use tools such as SNPEffect (http://snpeffect.switchlab.org) or HOPE (http://www.cmbi.ru.nl/hope).
You mentioned three individual applications for different purposes: I-Mutant (stability predictor), SIFT (activity predictor) and POLYPHEN (pathogenicity predictor). In my opinion, dependence on single tools is not the best strategy because inaccuracies of these tools are still quite high. I prefer to use metaservers, i.e.:
I would strongly advise you to use Sibyl, if the mutations are SNPs in coding regions, as it offers by far the best accuracy (96%) in all literature. http://bioinformatics.ua.pt/sibyl
Generally samples are considered positive if both forward and reverse strands exhibit the same change. For this sequence of both strands of samples should be done followed by alignment of the FASTA format with the reference sequence in Clustal W software. We have to take about 10 reads of reference and sample (ratio should be 1:1) It should be checked that the reads supporting the mutation are identical i.e. mapping at exactly the same position. Skilled interpretation of the results is required, particularly to detect or exclude heterozygous mutations. Errors may be due to sequencer or PCR error. For sequencer error, try different sequencer. For PCR errors, try another polymerase, or try different primer (for e.g. more near or far away from the mutation). Other softwares which are used to detect the severity of the mutations are I mutant (stability predictor), SIFT (activity predictor) (http://sift.jcvi.org/), Polyphene2 (pathogenicitypredictor)(http://genetics.bwh.harvard.edu/pph2),mutationT@ster (http://www.mutationtaster.org/) SNPeffect (http://snpeffect.switchlab.org), HOPE (http://www.cmbi.ru.nl/hope), Sibyl(http://bioinformatics.ua.pt/sibyl), PMut(http://mmb2.pcb.ub.es:8080/PMut/), PhD-SNP (http://snps.biofold.org/phd-snp/), HANSA (http://www.cdfd.org.in/HANSA/index.php?target=home) and Stability predictor: iSTABLE (http://predictor.nchu.edu.tw/istable).
Well, usually you should analyze the impact of SNPs on protein function, stability, and interaction. Each one can be assessed using various software. Task one: SIFT, POLYPHEN-2, PhD-SNP, PROVEAN, PANTHER, ETC
For task two you can use: I-mutant, SDM.
For task 3: project hope, and others.
Ofc these work only for SNPs in coding region (exons)
i think different software having their own advantages and disadvantages .so for best interpretation or analysis .cannot rely on single one.comparison of results from all available software give good output