Literature DB >> 23161105

A new insight into structural and functional impact of single-nucleotide polymorphisms in PTEN gene.

C George Priya Doss1, B Rajith.   

Abstract

Phosphatase and tensin homolog (PTEN) plays essential roles in cellular processes including survival, proliferation, energy metabolism, and cellular architecture. Activating the mutations of PTEN has long been known to produce a variety of disorders, mainly diabetes and cancer in humans. Owing to the importance of PTEN gene, a functional analysis using different in silico approaches was undertaken to explore the possible associations between genetic mutations and phenotypic variation. SIFT, PolyPhen, I-Mutant 3.0, SNP&GO, and PHD-SNP were used for initial screening of functional nsSNPs. From the observed results, three mutations R47G, H61D, and V343E were selected based on their surface accessibility and total energy change. By molecular dynamics approach, H61D showed increase in flexibility, radius of gyration, solvent accessibility, and deviated more from the native structure which was supported by the decrease in the number of hydrogen bonds. Further from principal component analysis and interaction analysis, we identified significant structural changes that can reasonably explain the involvement of deviations in stability caused by mutations. Our analysis also predicts the involvement of SNPs that could potentially influence post-translational modifications in PTEN gene. These in silico predictions could provide a new insight into structural and functional impact of PTEN polymorphisms.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23161105     DOI: 10.1007/s12013-012-9472-9

Source DB:  PubMed          Journal:  Cell Biochem Biophys        ISSN: 1085-9195            Impact factor:   2.194


  10 in total

1.  On human disease-causing amino acid variants: statistical study of sequence and structural patterns.

Authors:  Marharyta Petukh; Tugba G Kucukkal; Emil Alexov
Journal:  Hum Mutat       Date:  2015-04-06       Impact factor: 4.878

Review 2.  Molecular mechanisms of disease-causing missense mutations.

Authors:  Shannon Stefl; Hafumi Nishi; Marharyta Petukh; Anna R Panchenko; Emil Alexov
Journal:  J Mol Biol       Date:  2013-07-16       Impact factor: 5.469

3.  Impact of missense mutations in survival motor neuron protein (SMN1) leading to Spinal Muscular Atrophy (SMA): A computational approach.

Authors:  P Sneha; Tanzila U Zenith; Ummay Salma Abu Habib; Judith Evangeline; D Thirumal Kumar; C George Priya Doss; R Siva; Hatem Zayed
Journal:  Metab Brain Dis       Date:  2018-07-13       Impact factor: 3.584

4.  Association of phosphatase and tension homologue deleted on chromosome ten polymorphism rs1903858, but not serum levels with the risk of non-small-cell lung cancer: A case-control study.

Authors:  Zhen Liang; Yuzhu Tang; Hao Li; Youjun Xie; Lingling Zhan
Journal:  J Clin Lab Anal       Date:  2020-06-15       Impact factor: 2.352

5.  Single nucleotide polymorphisms rs701848 and rs2735343 in PTEN increases cancer risks in an Asian population.

Authors:  Dan-Dan Song; Qian Zhang; Jing-Hua Li; Rui-Min Hao; Ying Ma; Ping-Yu Wang; Shu-Yang Xie
Journal:  Oncotarget       Date:  2017-10-24

6.  Prediction and Structural Comparison of Deleterious Coding Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs) in Human LEP Gene Associated with Obesity.

Authors:  Hind Bouafi; Sara Bencheikh; A L Mehdi Krami; Imane Morjane; Hicham Charoute; Hassan Rouba; Rachid Saile; Fouad Benhnini; Abdelhamid Barakat
Journal:  Biomed Res Int       Date:  2019-12-04       Impact factor: 3.411

7.  In silico analysis of deleterious single nucleotide polymorphisms in human BUB1 mitotic checkpoint serine/threonine kinase B gene.

Authors:  Fatemeh Akhoundi; Nikpour Parvaneh; Emadi-Baygi Modjtaba
Journal:  Meta Gene       Date:  2016-05-28

8.  Phenotype prediction for mucopolysaccharidosis type I by in silico analysis.

Authors:  Li Ou; Michael J Przybilla; Chester B Whitley
Journal:  Orphanet J Rare Dis       Date:  2017-07-04       Impact factor: 4.123

9.  Computational Analysis of High Risk Missense Variant in Human UTY Gene: A Candidate Gene of AZFa Sub-region.

Authors:  Mili Nailwal; Jenabhai Bhathibhai Chauhan
Journal:  J Reprod Infertil       Date:  2017 Jul-Sep

10.  Predicting the most deleterious missense nsSNPs of the protein isoforms of the human HLA-G gene and in silico evaluation of their structural and functional consequences.

Authors:  Elaheh Emadi; Fatemeh Akhoundi; Seyed Mehdi Kalantar; Modjtaba Emadi-Baygi
Journal:  BMC Genet       Date:  2020-08-31       Impact factor: 2.797

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.