Aging in the world population has increased every year. Superoxide dismutase
2 (Mn-SOD or SOD2) protects against oxidative stress, a main factor influencing
cellular longevity. Polymorphisms in SOD2 have been associated with the development
of neurodegenerative diseases, such as Alzheimer’s and Parkinson’s
disease, as well as psychiatric disorders, such as schizophrenia, depression
and bipolar disorder. In this study, all of the described natural variants
(S10I, A16V, E66V, G76R, I82T and R156W) of SOD2 were subjected to in
silico analysis using eight different algorithms: SNPeffect, PolyPhen-2,
PhD-SNP, PMUT, SIFT, SNAP, SNPs&GO and nsSNPAnalyzer. This analysis revealed
disparate results for a few of the algorithms. The results showed that, from
at least one algorithm, each amino acid substitution appears to harmfully
affect the protein. Structural theoretical models were created for variants
through comparative modelling performed using the MHOLline server (which includes
MODELLER and PROCHECK) and ab initio modelling, using the
I-Tasser server. The predicted models were evaluated using TM-align, and the
results show that the models were constructed with high accuracy. The RMSD
values of the modelled mutants indicated likely pathogenicity for all missense
mutations. Structural phylogenetic analysis using ConSurf revealed that human
SOD2 is highly conserved. As a result, a human-curated database was generated
that enables biologists and clinicians to explore SOD2 nsSNPs, including predictions
of their effects and visualisation of the alignment of both the wild-type
and mutant structures. The database is freely available at http://bioinfogroup.com/database
and will be regularly updated.