An


Journal

Journal of biomolecular structure & dynamics
ISSN: 1538-0254
Titre abrégé: J Biomol Struct Dyn
Pays: England
ID NLM: 8404176

Informations de publication

Date de publication:
Sep 2020
Historique:
pubmed: 22 10 2019
medline: 22 6 2021
entrez: 22 10 2019
Statut: ppublish

Résumé

Mutation in two genes deglycase gene (DJ-1) and retromer complex component gene (VPS35) are linked with neurodegenerative disorder such as Parkinson's disease, Huntington's disease, and Alzheimer's disease. DJ-1 gene located at 1p36 chromosomal position and involved in PD pathogenesis through many pathways including mitochondrial dysfunction and oxidative injury. VPS35 gene located at 16q13-q21 chromosomal position and the two pathways, the Wnt signaling pathway, and retromer-mediated DMT1 missorting are proposed for basis of VPS35 related PD. The study focuses on identifying most deleterious SNPs through computational analysis. Result obtained from various bioinformatics tools shows that D149A is most deleterious in DJ-1 and A54W, R365H, and V717M are most deleterious in VPS35. To understand the functionality of protein comparative modeling of DJ-1 and VPS35 native and mutants was done by MODELLER. The generated structures are validated by two web servers-ProSa and RAMPAGE. Molecular dynamic simulation (MDS) analysis done for the most validated structures to know the functional and structural nature of native and mutants protein of DJ-1 and VPS35. Native structure of DJ-1 and VPS35 show more flexibility through MDS analysis. DJ-1 D149A mutant structures become more compact which shows the structural perturbation and loss of DJ-1 protein function which in turn are probable cause for PD. A54W, R365H, and V717M mutant protein of VPS35 also shows compactness which cause structure perturbation and absence of retromer function which likely to be linked to PD pathogenesis. This in silico study may provide a new insight for fundamental molecular mechanism involved in Parkinson's disease. Communicated by Ramaswamy H. Sarma.

Identifiants

pubmed: 31630641
doi: 10.1080/07391102.2019.1682047
doi:

Substances chimiques

Vesicular Transport Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4259-4272

Auteurs

Sapna Pandey (S)

Department of Computational Biology & Bioinformatics, Jacob Institute of Biotechnology & Bio-Engineering, Sam Higginbottom University of Agriculture, Technology and Science (SHUATS), Allahabad, India.

Kalyani Dhusia (K)

Department of Computational Biology & Bioinformatics, Jacob Institute of Biotechnology & Bio-Engineering, Sam Higginbottom University of Agriculture, Technology and Science (SHUATS), Allahabad, India.
Department of Biomedical Engineering, Institute of Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA.

Pramod Katara (P)

Centre of Bioinformatics, University of Allahabad, Allahabad, India.

Satendra Singh (S)

Department of Computational Biology & Bioinformatics, Jacob Institute of Biotechnology & Bio-Engineering, Sam Higginbottom University of Agriculture, Technology and Science (SHUATS), Allahabad, India.

Budhayash Gautam (B)

Department of Computational Biology & Bioinformatics, Jacob Institute of Biotechnology & Bio-Engineering, Sam Higginbottom University of Agriculture, Technology and Science (SHUATS), Allahabad, India.

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Classifications MeSH