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In silico analysis of squalene synthase in Fabaceae family using bioinformatics tools

Triterpenoid saponins are a diverse group of bioactive compounds, which are used for possessing of many biomedical and pharmaceutical products. Generally, squalene synthase (SQS) is defined as an emerging and essential branch point enzyme far from the major pathway of isoprenoids biosynthetic and a...

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Detalles Bibliográficos
Autores principales: Aminfar, Zahra, Tohidfar, Masoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academy of Scientific Research and Technology, Egypt 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6353760/
https://www.ncbi.nlm.nih.gov/pubmed/30733795
http://dx.doi.org/10.1016/j.jgeb.2018.06.001
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author Aminfar, Zahra
Tohidfar, Masoud
author_facet Aminfar, Zahra
Tohidfar, Masoud
author_sort Aminfar, Zahra
collection PubMed
description Triterpenoid saponins are a diverse group of bioactive compounds, which are used for possessing of many biomedical and pharmaceutical products. Generally, squalene synthase (SQS) is defined as an emerging and essential branch point enzyme far from the major pathway of isoprenoids biosynthetic and a latent adjusting point, which manages carbon flux into triterpenes biosynthesis and sterols. The present study deals with the detailed characterization of SQS by bioinformatics approaches to evaluate physicochemical properties, structural characteristics including secondary and 3D structure prediction and functional analysis from eight plants related to Fabaceae family and Arabidopsis thaliana. Bioinformatics analysis revealed that SQS proteins have two transmembrane regions in the C-terminal. The predicted motifs were used to design universal degenerate primers for PCR analysis and other molecular applications. Phylogenetic analysis showed conserved regions at different stretches with maximum homology in amino acid residues within all SQSs. The secondary structure prediction results showed that the amino acid sequence of all squalene synthases had α helix and random coil as the main components. The reliability of the received model was confirmed using the ProSA and RAMPAGE programs. Determining of active site by CASTp proposes the possibility of using this protein as probable medication target. The findings of the present study may be useful for further assessments on characterization and cloning of squalene synthase.
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spelling pubmed-63537602019-02-07 In silico analysis of squalene synthase in Fabaceae family using bioinformatics tools Aminfar, Zahra Tohidfar, Masoud J Genet Eng Biotechnol In Silico Biotechnology Triterpenoid saponins are a diverse group of bioactive compounds, which are used for possessing of many biomedical and pharmaceutical products. Generally, squalene synthase (SQS) is defined as an emerging and essential branch point enzyme far from the major pathway of isoprenoids biosynthetic and a latent adjusting point, which manages carbon flux into triterpenes biosynthesis and sterols. The present study deals with the detailed characterization of SQS by bioinformatics approaches to evaluate physicochemical properties, structural characteristics including secondary and 3D structure prediction and functional analysis from eight plants related to Fabaceae family and Arabidopsis thaliana. Bioinformatics analysis revealed that SQS proteins have two transmembrane regions in the C-terminal. The predicted motifs were used to design universal degenerate primers for PCR analysis and other molecular applications. Phylogenetic analysis showed conserved regions at different stretches with maximum homology in amino acid residues within all SQSs. The secondary structure prediction results showed that the amino acid sequence of all squalene synthases had α helix and random coil as the main components. The reliability of the received model was confirmed using the ProSA and RAMPAGE programs. Determining of active site by CASTp proposes the possibility of using this protein as probable medication target. The findings of the present study may be useful for further assessments on characterization and cloning of squalene synthase. Academy of Scientific Research and Technology, Egypt 2018-12 2018-06-06 /pmc/articles/PMC6353760/ /pubmed/30733795 http://dx.doi.org/10.1016/j.jgeb.2018.06.001 Text en © 2018 Production and hosting by Elsevier B.V. on behalf of Academy of Scientific Research & Technology. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle In Silico Biotechnology
Aminfar, Zahra
Tohidfar, Masoud
In silico analysis of squalene synthase in Fabaceae family using bioinformatics tools
title In silico analysis of squalene synthase in Fabaceae family using bioinformatics tools
title_full In silico analysis of squalene synthase in Fabaceae family using bioinformatics tools
title_fullStr In silico analysis of squalene synthase in Fabaceae family using bioinformatics tools
title_full_unstemmed In silico analysis of squalene synthase in Fabaceae family using bioinformatics tools
title_short In silico analysis of squalene synthase in Fabaceae family using bioinformatics tools
title_sort in silico analysis of squalene synthase in fabaceae family using bioinformatics tools
topic In Silico Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6353760/
https://www.ncbi.nlm.nih.gov/pubmed/30733795
http://dx.doi.org/10.1016/j.jgeb.2018.06.001
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