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Investigation of deleterious effects of nsSNPs in the POT1 gene: a structural genomics-based approach to understand the mechanism of cancer development
Authors:Mohd. Amir  Vijay Kumar  Taj Mohammad  Ravins Dohare  Afzal Hussain  Md. Tabish Rehman  Perwez Alam  Mohamed F. Alajmi  Asimul Islam  Faizan Ahmad  Md. Imtaiyaz Hassan
Affiliation:1. Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India;2. Amity Institute of Neuropsychology & Neurosciences, Amity University, Noida, Uttar Pradesh, India;3. Department of Pharmacognosy College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
Abstract:
Protection of telomere 1 (POT1) is one of the key components of shelterin complex, implicated in maintaining the telomere homeostasis, and thus stability of the eukaryotic genome. A large number of non-synonymous single nucleotide polymorphisms (nsSNPs) in the POT1 gene have been reported to cause varieties of human diseases, including cancer. In recent years, a number of mutations in POT1 has been markedly increased, and interpreting the effect of these large numbers of mutations to understand the mechanism of associated diseases seems impossible using experimental approaches. Herein, we employ varieties of computational methods such as PROVEAN, PolyPhen-2, SIFT, PoPMuSiC, SDM2, STRUM, and MAESTRO to identify the effects of 387 nsSNPs on the structure and function of POT1 protein. We have identified about 183 nsSNPs as deleterious and termed them as “high-confidence nsSNPs.” Distribution of these high-confidence nsSNPs demonstrates that the mutation in oligonucleotide binding domain 1 is highly deleterious (one in every three nsSNPs), and high-confidence nsSNPs show a strong correlation with residue conservation. The structure analysis provides a detailed insights into the structural changes occurred in consequence of conserved mutations which lead to the cancer progression. This study, for the first time, offers a newer prospective on the role of POT1 mutations on the structure, function, and their relation to associated diseases.
Keywords:computational methods  OB-fold protein  protection of telomere 1  sequence analysis  SNPs, deleterious mutations  structural genomics
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