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. Author manuscript; available in PMC: 2014 Nov 1.
Published in final edited form as: J Mol Biol. 2013 Jul 16;425(21):3919–3936. doi: 10.1016/j.jmb.2013.07.014

Table 1. The list of servers and programs to predict the effect of mutations on protein molecular characteristics. (.

See ref 63 and 69 for other methods and comparison between the methods.)

Name Input Description URL
MuStab Sequence Predicts decrease/increase of stability upon mutation using support vector machine http://bioinfo.ggc.org/mustab/
MUPro Sequence Predicts decrease/increase of stability upon mutation using support vector machine http://mupro.proteomics.ics.uci.edu/
SIFT Sequence Estimates deleterious effect of mutation using sequence homology and site conservation http://sift-dna.org
MutPred Sequence Estimates deleterious effect of mutation using SIFT and gain/loss of structural or functional properties predicted from sequences http://mutpred.mutdb.org/
SNPdbe Sequence Pre-calculated database of effects of known mutations calculated based on the neural network method and SIFT http://www.rostlab.org/services/snpdbe/
Polyphen(2) Sequence/structure Estimates deleterious effect of mutation using sequence homology, site conservation and structural features http://genetics.bwh.harvard.edu/pph2/
I - Mutant 2.0 Sequence/structure Estimates ΔΔG upon mutation using support vector machine http://gpcr2.biocomp.unibo.it/%7Eemidio/I-Mutant/I-Mutant.htm
Site Directed Mutator (SDM) Structure Estimates ΔΔG upon mutation using statistical potential energy function http://www-cryst.bioc.cam.ac.uk/~sdm/sdm.php
CUPSAT Structure Estimates ΔΔG upon mutation using mean force atom pair and torsion angle potentials http://cupsat.tu-bs.de/
FOLD-X Structure Estimates ΔΔG upon mutation using empirical force field http://fold-x.embl-heidelberg.de
AUTO-MUTE Structure Estimates ΔΔG upon mutation using knowledge-based statistical contact potential and machine learning methods http://proteins.gmu.edu/automute
ERIS Structure Estimates ΔΔG upon mutation using physical force field with atomic modeling http://dokhlab.unc.edu/tools/eris/
PoPMuSiC 2.0 Structure Estimates ΔΔG upon mutation using a combination of statistical potential and neural networks http://babylone.ulb.ac.be/popmusic
CC/PBSA Structure Poisson-Boltzmann Calculations combined with surface accessibility term to calculate the energy on an ensemble of structures generated with Concoord http://ccpbdsa.bioinformatik.unisaarland.de/
HOPE Structure/sequence Uses experimentally determined or homology-based structures with conjunction with WhatIf to make predictions http://www.cmbi.ru.nl/hope/