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Erschienen in: Network Modeling Analysis in Health Informatics and Bioinformatics 1/2018

01.12.2018 | Original Article

Prediction of single nucleotide polymorphisms (SNPs) in apolipoprotein E gene and their possible associations with a deleterious effect on the structure and functional properties: an in silico approach

verfasst von: Noor AlHuda Ali A. H. Saeed, Israa Hussein Hamzah, Alaa Naseer Mohammed Ali, Abdulwahab Ali Abuderman

Erschienen in: Network Modeling Analysis in Health Informatics and Bioinformatics | Ausgabe 1/2018

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Abstract

The present study was conducted with the aim to predict the possible associations of Apo E gene SNPs with a deleterious effect on the structural and functional properties of Apo E using different databases such as nucleotide polymorphism database (dbSNP), SIFT, PolyPhen-2 and F-SNP database. The study was performed during 2017–18 using in vitro bioinformatics tools. Bioinformatics tools such as SIFT, PolyPhen-2 and I Mutant 2.0 were used in this study for single amino acid substitution to know tolerance index (TI), protein function and protein stability effects. F-SNP database was used for the identification of disease-causing SNPs. At dbSNP, the data for 333 SNPs were retrieved of Apo E gene. From the study analysis, 333 SNPs were retrieved, of which 63 were nsSNPs and 12 were UTRs and others were located in other regions. From the results, it was inferred that out of 63 nsSNPs, 8 were predicted as ‘Damaging’ with (TI) < 0.05. The SNPs such as rs41382345, rs769455, rs11083750, and rs769455 had a TI score of 0.00 which affect Apo E protein function. Ten nsSNPs were found to secure FS score > 0.5. One nsSNP secured the least FS score i.e., rs41382345(0.273). The results in prediction reveals that nsSNPs of Apo E protein have an deleterious impact upon protein function and structure which may lead to serious human health problems. In humans, apolipoprotein E (Apo E) has a vital role in the proper regulation of lipid metabolism. Apo E gene polymorphisms have been associated with coronary heart disease, obesity, diabetes, hypertension, cancers and Alzheimer’ disease. This analysis must be valuable for future genomics, pharmacoproteomics and clinical studies.

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Metadaten
Titel
Prediction of single nucleotide polymorphisms (SNPs) in apolipoprotein E gene and their possible associations with a deleterious effect on the structure and functional properties: an in silico approach
verfasst von
Noor AlHuda Ali A. H. Saeed
Israa Hussein Hamzah
Alaa Naseer Mohammed Ali
Abdulwahab Ali Abuderman
Publikationsdatum
01.12.2018
Verlag
Springer Vienna
Erschienen in
Network Modeling Analysis in Health Informatics and Bioinformatics / Ausgabe 1/2018
Print ISSN: 2192-6662
Elektronische ISSN: 2192-6670
DOI
https://doi.org/10.1007/s13721-018-0178-9

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