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. Author manuscript; available in PMC: 2018 Jun 1.
Published in final edited form as: Glob Heart. 2017 Mar 13;12(2):151–161. doi: 10.1016/j.gheart.2017.01.009

Table 2.

Tools for predicting the functional effects of non-synonymous SNPs

Tool Description Link Reference
Auto-Mute 2.0 Sequence-and structure-based http://binf2.gmu.edu/automute/ [28]
FATHMM Sequence-based http://fathmm.biocompute.org.uk/ [29]
MAPP Sequence-based http://mendel.stanford.edu/SidowLab/downloads/MAPP/index.html [30]
Meta-SNP Consensus classifier http://snps.biofold.org/meta-snp/ [31]
MuD Sequence-and structure-based http://mud.tau.ac.il/ [32]
MutPred Sequence-based http://mutpred.mutdb.org/ [33]
PANTHERPSEP Sequence-based http://www.pantherdb.org/tools/csnpScoreForm.jsp [34]
Parepro Sequence-based http://www.mobioinfor.cn/parepro/ [35]
PolyPhen-2 Sequence-and structure-based http://genetics.bwh.harvard.edu/pph2/ [36]
PredictSNP Consensus classifier http://loschmidt.chemi.muni.cz/predictsnp/ [37]
Provean Sequence-and structure-based http://provean.jcvi.org/index.php [38]
SIFT Sequence-based http://provean.jcvi.org/index.php [39]
SNAP Sequence-based http://www.bio-sof.com/snap [40]
SNPs&GO Sequence-and structure-based http://snps.biofold.org/snps-andgo/snps-and-go.html [41]
VAPOR Consensus classifier https://huma.rubi.ru.ac.za/#vapor n/a