Computational identification of pathogenic associated nsSNPs and its structural impact in UROD gene: a molecular dynamics approach.
Cell Biochem Biophys
; 70(2): 735-46, 2014 Nov.
Article
em En
| MEDLINE
| ID: mdl-24777812
Uroporphyrinogen decarboxylase is a cytosolic enzyme involved in the biosynthetic pathway of heme production. Decreased activity of this enzyme results in porphyria cutanea tarda and hepato erythropoietic porphyria. Nonsynonymous single nucleotide polymorphisms (nsSNPs) alter protein sequence and can cause disease. Identifying the deleterious nsSNPs that contribute to disease is an important task. We used five different in silico tools namely SIFT, PANTHER, PolyPhen2, SNPs&GO, and I-mutant3 to identify deleterious nsSNPs in UROD gene. Further, we used molecular dynamic (MD) approach to evaluate the impact of deleterious mutations on UROD protein structure. By comparing the results of all the five prediction results, we screened 35 (51.47 %) nsSNPs as highly deleterious. MD analysis results show that all the three L161Q, L282R, and I334T deleterious variants were affecting the UROD protein structural stability and flexibility. Our findings provide strong evidence on the effect of deleterious nsSNPs in UROD gene. A detailed MD study provides a new insight in the conformational changes occurred in the mutant structures of UROD protein.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Uroporfirinogênio Descarboxilase
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Doença
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Polimorfismo de Nucleotídeo Único
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Simulação de Dinâmica Molecular
Tipo de estudo:
Diagnostic_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
Cell Biochem Biophys
Assunto da revista:
BIOFISICA
/
BIOQUIMICA
Ano de publicação:
2014
Tipo de documento:
Article