A Comprehensive In Silico Analysis of Deleterious SNPs of Paraplegin Protein Associated with Hereditary Spastic Paraplegia through Mitochondrial Dysfunction
Author(s) -
Ammara Akhtar,
Sobia Nazir Choudhry,
Rana Muhammad Mateen,
Mureed Hussain
Publication year - 2020
Publication title -
bioscientific review
Language(s) - English
Resource type - Journals
eISSN - 2663-4201
pISSN - 2663-4198
DOI - 10.32350/bsr.0202.01
Subject(s) - hereditary spastic paraplegia , missense mutation , in silico , genetics , rna splicing , biology , mutation , gene , bioinformatics , phenotype , rna
Hereditary spastic paraplegia (HSP) is a heterogenous neurological disorder primarily associated with progressive spasticity. Paraplegin is a mitochondrial protein and mutations in this protein can lead to HSP. In this study, in silico analysis was carried out to identify the pathogenic variants of SPG7 (paraplegin protein). To find novel pathogenic mutations, missense and splicing variants were collected from gnomAD database and passed through a detailed and stringent analysis with the help of a variety of bioinformatic tools. The list of mutations was examined and compared in ClinVar. Altogether, 14 missense mutations and 18 splicing mutations were obtained and these mutations were predicted to have the potential of disrupting the normal structural and functional properties of paraplegin protein.
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