Type-2 Diabetes Mellitus and Glucagon-Like Peptide-1 Receptor toward Predicting Possible Association

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چکیده

Aim: This study aimed to investigate the effect of non-synonymous SNPs (nsSNPs) Glucagon-like peptide-1 Receptor (GLP-1R) gene in protein function and structure using different computational software. Introduction: The GLP1R provides necessary instruction for synthesis insulin hormones which is needed glucose catabolism. Polymorphisms this are associated with diabetes. an important drug target treatment type-2 diabetes stroke. Material Methods: Different nsSNPs protein-related sequences were obtained from NCBI ExPASY database. Gene associations interactions predicted GeneMANIA Deleterious damaging effects analyzed SIFT, Provean, Polyphen-2. association disease was & GO Protein stability investigated I-Mutant MUpro structural functional impact point mutations Project Hope analyzes according their size, charge, hydrophobicity, conservancy. Results: found have 20 other genes. Among most ones GCG (glucagon) also a trans membrane protein. Overall 7229 variants seen, missense or (146) selected further analysis. total number 146. After being subjected SIFT software (27 119 Tolerated) predicted. Analysis Provean showed that (20 deleterious 7 neutral). Polyphen-2 revealed 17 probably damaging, 2 possibly 1 benign nsSNPs. Using two additional PHD-SNPs 14 had effect, respectively. predicts on due differences conservancy between wild mutant types. Conclusion: In study, highly affected function. providing affect diabetic patients fact acts as target.

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ژورنال

عنوان ژورنال: Computational molecular bioscience

سال: 2023

ISSN: ['2165-3453', '2165-3445']

DOI: https://doi.org/10.4236/cmb.2023.133004