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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-06-06

AUTHORS

Zahra Aminfar, Masoud Tohidfar

ABSTRACT

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. More... »

PAGES

739-747

Identifiers

URI

http://scigraph.springernature.com/pub.10.1016/j.jgeb.2018.06.001

DOI

http://dx.doi.org/10.1016/j.jgeb.2018.06.001

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104398929

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30733795


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