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In Silico Analysis of nsSNPs of Human KRAS Gene and Protein Modeling Using Bioinformatic Tools
[Image: see text] The KRAS gene belongs to the RAS family and codes for 188 amino acid residues of KRAS protein, with a molecular mass of 21.6 kD. Non-synonymous single-nucleotide polymorphisms (nsSNPs) have been identified within the coding region in which some are associated with different disease...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099408/ https://www.ncbi.nlm.nih.gov/pubmed/37065036 http://dx.doi.org/10.1021/acsomega.3c00804 |
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author | Xu, Duoduo Shao, Qiqi Zhou, Chen Mahmood, Arif Zhang, Jizhou |
author_facet | Xu, Duoduo Shao, Qiqi Zhou, Chen Mahmood, Arif Zhang, Jizhou |
author_sort | Xu, Duoduo |
collection | PubMed |
description | [Image: see text] The KRAS gene belongs to the RAS family and codes for 188 amino acid residues of KRAS protein, with a molecular mass of 21.6 kD. Non-synonymous single-nucleotide polymorphisms (nsSNPs) have been identified within the coding region in which some are associated with different diseases. However, structural changes are not well defined yet. In this study, we first categorized SNPs in the KRAS coding area and then used computational methods to determine their impact on the protein structure and stability. In addition, the three-dimensional model of KRAS was taken from the Protein Data Bank for structural modeling. Furthermore, genomic data were extracted from a variety of sources, including the 1000 Genome Project, dbSNPs, and ENSEMBLE, and assessed through in silico methods. Based on various tools used in this study, 10 out of 48 missense SNPs with rsIDs were found deleterious. The substitution of alanine for proline at position 146 pushed several residues toward the center of the protein. Arginine instead of leucine has a minor effect on protein structure and stability. In addition, the substitution of proline for leucine at the 34th position disrupted the structure and led to a bigger size than the wild-type protein, hence interrupting the protein interaction. Using the well-intended computational approach and applying several bioinformatic tools, we characterized and identified most damaging nsSNPs and further explored the structural dynamics and stability of KRAS protein. |
format | Online Article Text |
id | pubmed-10099408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-100994082023-04-14 In Silico Analysis of nsSNPs of Human KRAS Gene and Protein Modeling Using Bioinformatic Tools Xu, Duoduo Shao, Qiqi Zhou, Chen Mahmood, Arif Zhang, Jizhou ACS Omega [Image: see text] The KRAS gene belongs to the RAS family and codes for 188 amino acid residues of KRAS protein, with a molecular mass of 21.6 kD. Non-synonymous single-nucleotide polymorphisms (nsSNPs) have been identified within the coding region in which some are associated with different diseases. However, structural changes are not well defined yet. In this study, we first categorized SNPs in the KRAS coding area and then used computational methods to determine their impact on the protein structure and stability. In addition, the three-dimensional model of KRAS was taken from the Protein Data Bank for structural modeling. Furthermore, genomic data were extracted from a variety of sources, including the 1000 Genome Project, dbSNPs, and ENSEMBLE, and assessed through in silico methods. Based on various tools used in this study, 10 out of 48 missense SNPs with rsIDs were found deleterious. The substitution of alanine for proline at position 146 pushed several residues toward the center of the protein. Arginine instead of leucine has a minor effect on protein structure and stability. In addition, the substitution of proline for leucine at the 34th position disrupted the structure and led to a bigger size than the wild-type protein, hence interrupting the protein interaction. Using the well-intended computational approach and applying several bioinformatic tools, we characterized and identified most damaging nsSNPs and further explored the structural dynamics and stability of KRAS protein. American Chemical Society 2023-04-03 /pmc/articles/PMC10099408/ /pubmed/37065036 http://dx.doi.org/10.1021/acsomega.3c00804 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Xu, Duoduo Shao, Qiqi Zhou, Chen Mahmood, Arif Zhang, Jizhou In Silico Analysis of nsSNPs of Human KRAS Gene and Protein Modeling Using Bioinformatic Tools |
title | In Silico Analysis of nsSNPs of Human
KRAS Gene and Protein Modeling Using Bioinformatic Tools |
title_full | In Silico Analysis of nsSNPs of Human
KRAS Gene and Protein Modeling Using Bioinformatic Tools |
title_fullStr | In Silico Analysis of nsSNPs of Human
KRAS Gene and Protein Modeling Using Bioinformatic Tools |
title_full_unstemmed | In Silico Analysis of nsSNPs of Human
KRAS Gene and Protein Modeling Using Bioinformatic Tools |
title_short | In Silico Analysis of nsSNPs of Human
KRAS Gene and Protein Modeling Using Bioinformatic Tools |
title_sort | in silico analysis of nssnps of human
kras gene and protein modeling using bioinformatic tools |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099408/ https://www.ncbi.nlm.nih.gov/pubmed/37065036 http://dx.doi.org/10.1021/acsomega.3c00804 |
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