Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability

Abstract Genetic polymorphisms in DNA damage repair and tumor suppressor genes have been associated with increasing the risk of several types of cancer. Analyses of putative functional single nucleotide polymorphisms (SNP) in such genes can greatly improve human health by guiding choice of therapeut...

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Autores principales: Mahjerin Nasrin Reza, Nadim Ferdous, Md. Tabassum Hossain Emon, Md. Shariful Islam, A. K. M. Mohiuddin, Mohammad Uzzal Hossain
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/edb6a56ade834b879c60778e04c18f2b
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spelling oai:doaj.org-article:edb6a56ade834b879c60778e04c18f2b2021-12-02T19:17:00ZPathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability10.1038/s41598-021-98547-y2045-2322https://doaj.org/article/edb6a56ade834b879c60778e04c18f2b2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98547-yhttps://doaj.org/toc/2045-2322Abstract Genetic polymorphisms in DNA damage repair and tumor suppressor genes have been associated with increasing the risk of several types of cancer. Analyses of putative functional single nucleotide polymorphisms (SNP) in such genes can greatly improve human health by guiding choice of therapeutics. In this study, we selected nine genes responsible for various cancer types for gene enrichment analysis and found that BRCA1, ATM, and TP53 were more enriched in connectivity. Therefore, we used different computational algorithms to classify the nonsynonymous SNPs which are deleterious to the structure and/or function of these three proteins. The present study showed that the major pathogenic variants (V1687G and V1736G of BRCA1, I2865T and V2906A of ATM, V216G and L194H of TP53) might have a greater impact on the destabilization of the proteins. To stabilize the high-risk SNPs, we performed mutation site-specific molecular docking analysis and validated using molecular dynamics (MD) simulation and molecular mechanics/Poisson Boltzmann surface area (MM/PBSA) studies. Additionally, SNPs of untranslated regions of these genes affecting miRNA binding were characterized. Hence, this study will assist in developing precision medicines for cancer types related to these polymorphisms.Mahjerin Nasrin RezaNadim FerdousMd. Tabassum Hossain EmonMd. Shariful IslamA. K. M. MohiuddinMohammad Uzzal HossainNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-19 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Mahjerin Nasrin Reza
Nadim Ferdous
Md. Tabassum Hossain Emon
Md. Shariful Islam
A. K. M. Mohiuddin
Mohammad Uzzal Hossain
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability
description Abstract Genetic polymorphisms in DNA damage repair and tumor suppressor genes have been associated with increasing the risk of several types of cancer. Analyses of putative functional single nucleotide polymorphisms (SNP) in such genes can greatly improve human health by guiding choice of therapeutics. In this study, we selected nine genes responsible for various cancer types for gene enrichment analysis and found that BRCA1, ATM, and TP53 were more enriched in connectivity. Therefore, we used different computational algorithms to classify the nonsynonymous SNPs which are deleterious to the structure and/or function of these three proteins. The present study showed that the major pathogenic variants (V1687G and V1736G of BRCA1, I2865T and V2906A of ATM, V216G and L194H of TP53) might have a greater impact on the destabilization of the proteins. To stabilize the high-risk SNPs, we performed mutation site-specific molecular docking analysis and validated using molecular dynamics (MD) simulation and molecular mechanics/Poisson Boltzmann surface area (MM/PBSA) studies. Additionally, SNPs of untranslated regions of these genes affecting miRNA binding were characterized. Hence, this study will assist in developing precision medicines for cancer types related to these polymorphisms.
format article
author Mahjerin Nasrin Reza
Nadim Ferdous
Md. Tabassum Hossain Emon
Md. Shariful Islam
A. K. M. Mohiuddin
Mohammad Uzzal Hossain
author_facet Mahjerin Nasrin Reza
Nadim Ferdous
Md. Tabassum Hossain Emon
Md. Shariful Islam
A. K. M. Mohiuddin
Mohammad Uzzal Hossain
author_sort Mahjerin Nasrin Reza
title Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability
title_short Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability
title_full Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability
title_fullStr Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability
title_full_unstemmed Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability
title_sort pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/edb6a56ade834b879c60778e04c18f2b
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