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In-Silico analysis of missense SNPs in Human HPPD gene associated with Tyrosinemia type III and Hawkinsinuria.
- Source :
-
Computational biology and chemistry [Comput Biol Chem] 2019 Jun; Vol. 80, pp. 284-291. Date of Electronic Publication: 2019 Apr 25. - Publication Year :
- 2019
-
Abstract
- HPPD gene codes a dioxygenase enzyme involved in catalysis of different molecules such as tyrosine and phenylalanine by oxidizing them to produce energy. A single change in protein can trigger serious genetic disorders like Tyrosinemia type III and Hawkinsinuria. This study aims to identify the functional missense SNPs of the HPPD gene by using multiple computational tools. All deleterious missense SNPs retrieved from Ensembl and OMIM database were evaluated through six different software. Ultimately, out of 148 missense SNPs, only 27 were confirmed as diseasecausing SNPs by developing a consensus approach. These damaging SNPs were further examined to evaluate their impact on protein stability and energy including their evolutionary conservation. Native and mutated proteins structures were also designed and superimposed by I-TASSER and PyMol respectively. This work results in narrowing down missense SNPs which are still not confirmed experimentally and demands the confirmation by GWAS data. Thus, these missense SNPs could directly or indirectly destabilize the amino acid interactions causing functional deviations of protein.<br /> (Copyright © 2019 Elsevier Ltd. All rights reserved.)
- Subjects :
- 4-Hydroxyphenylpyruvate Dioxygenase chemistry
Binding Sites
Computational Biology methods
Computer Simulation
Humans
Mixed Function Oxygenases deficiency
Mixed Function Oxygenases genetics
Models, Molecular
Mutation, Missense
Tyrosinemias genetics
4-Hydroxyphenylpyruvate Dioxygenase genetics
Polymorphism, Single Nucleotide
Subjects
Details
- Language :
- English
- ISSN :
- 1476-928X
- Volume :
- 80
- Database :
- MEDLINE
- Journal :
- Computational biology and chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 31054541
- Full Text :
- https://doi.org/10.1016/j.compbiolchem.2019.04.007