In Silico Prediction of the Effects of Nonsynonymous Single Nucleotide Polymorphisms in the Human Catechol-O-Methyltransferase (COMT) Gene

Catechol-O-methyltransferase (COMT) enzyme performs transfer of methyl group to endogenous and exogenous catechol substrates. The COMT enzyme draws interest because of its association with psychiatric, neurological and cardiovascular diseases, and several cancers. Moreover, many prescribed drugs, supplements, and their metabolites are used as substrates of COMT enzyme. The human COMT gene has 226 nonsynonymous single nucleotide polymorphisms (nsSNPs) according to public databases. Uncovering of the molecular impacts of nsSNPs on COMT enzyme function and structure may provide standpoint on how COMT nsSNPs affect enzyme activity and contribute to disease development. Therefore, we aimed in this study to predict possible structural and functional damaging effects of all knowns nsSNPs in COMT gene by applying various bioinformatics tools. Two hundred and twenty-six nsSNPs were obtained from Ensembl, HGMD, ClinVar, and dbSNP databases. Twenty-eight nsSNPs were found to be high-risk changes for protein structure. Some of them were detected in extremely conserved sequences have functional and structural properties. Besides, high-risk nsSNPs were also uncovered to change properties of native COMT protein. Our findings demonstrated the significance of COMT high-risk nsSNPs on protein structure and function. We expect that our results will be helpful in future studies concerning experimental evaluation of the COMT gene polymorphisms and/or the association between COMT polymorphisms and disease development.