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. 2016 May 28;9:142–150. doi: 10.1016/j.mgene.2016.05.002

Table 1.

In silico approaches available as online tools.

Server Feature URL Reference
SIFT Focuses more on the sequence preservation over the evolutionary time in predicting the effect of residue substitutions on function. http://sift.bii.a-star.edu.sg/index.html Kumar et al. (2009), Magesh and Doss (2014)
PolyPhen 2.0 Sequence and structure based method that predicts the possible impact of an amino acid substitution on the structure and function of a protein. http://genetics.bwh.harvard.edu/pph2 Adzhubei et al. (2010)
I-Mutant 3.0 Support vector machine (SVM) based predictors of protein stability changes upon single amino acid substitution. http://gpcr2.biocomp.unibo.it/cgi/predictors/I-Mutant3.0/I-Mutant3.0.cgi Capriotti et al. (2008)
PROVEAN Sequence based predictor that estimates whether a protein sequence variation affects protein function. http://provean.jcvi.org Choi et al. (2012)
SNP&GO Support vector machine (SVM) based web server that combine protein structural/functional parameters and sequence analysis derived information. http://snps.biofold.org/snps-and-go/snps-and-go.html Magesh and Doss (2014)
PhD-SNP SVM based on evolutionary information. http://gpcr.biocomp.unibo.it/cgi/predictors/PhD-SNP/PhD-SNP.cgi Magesh and Doss (2014)
PANTHER Protein family and subfamily database that predicts the frequency of occurrence of amino acid at a particular position in evolutionary related protein sequences. http://pantherdb.org/tools/csnpScoreForm.jsp Mi et al. (2005)
UTRscan Analyzing functional impacts of UTR SNPs. http://www/.ba.itb.cnr.it/BIG/UTRScan Pesole et al. (1999)
NetSurfP Analysis of SNP effects on surface and solvent accessibility of protein. http://www.cbs.dtu.dk/services/NetSurfP Petersen et al. (2009)
I-TASSER Protein structure prediction server. http://zhanglab.ccmb.med.umich.edu/I-TASSER Zhang (2008)
HOPE Project An automatic mutant analysis server for studying the structural features of native protein and the variant models. http://www.cmbi.ru.nl/hope/home Venselaar et al. (2010)
STRING Database of known and predicted protein-protein interactions. http://string-db.org Von Mering (et al. 2005)
PolymiRTS The polymorphic microRNA target sites are classifies into four classes: ‘D’ (the derived allele disrupts a conserved microRNA site), ‘N’ (the derived allele disrupts a nonconserved microRNA site), ‘C’ (the derived allele creates a new microRNA site) and ‘O’ (other cases when the ancestral allele cannot be determined unambiguously). http://compbio.uthsc.edu/miRSNP/ Bhattacharya et al. (2013)
1000 Genomes Project A resource about human genetic variation that will be used in many studies of particular phenotypes, such as complex diseases or drug response. http://www.1000genomes.org Via et al. (2010)