Archives of Razi Institute, ( ISI ), Volume (73), No (3), Year (2018-10) , Pages (229-237)

Title : ( Bioinformatics analysis of upstream regions and protein structure of fungal phytase gene )

Authors: maryam gholizade , Mohammadreza Nassiri , محمدرضا صابری , Aliakbar Haddad-Mashadrizeh ,

Citation: BibTeX | EndNote

Abstract

Phytase increases the bioavailability of phytate phosphorus in seed-based animal feeds, and reduces the phosphorus pollution of animal waste. Since most animal feeds for pellets heats up to 65 to 80 °C, therefore production of a thermostable structure for phytase could be useful. The aim of this study was to bioinformatics analysis of upstream region and protein structure of fungal phytase gene in order to improve of expression and thermostability properties.Bioinformatics methods were such as similarity search, multiple alignment, statistical analysis of physicochemical properties of amino acids, pattern recognition and protein modeling to find out the effective factors on heat resistance of phytase. Gibbs free energy .G of the best pattern promoter that was resulting of interaction between RNA polymerase with the promoter sequences of modified genes of phytase was equal -9 kcalmol-1 that compared to the other connections was lower. Evaluation of the three-dimensional structure of new phyatse showed that amino acids substitutions in order to improved thermostability did not change the form and structure of the protein. The results of PROCHEK, WHAT-CHECK, ERRAT for Structural analysis and verification were 84, 72, 70(respectively) that were satisfactory.

Keywords

, Fungal phytase, Bioinformatics, Homology modelling, Molecular docking, Upstream regions analysis
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@article{paperid:1065748,
author = {Gholizade, Maryam and Nassiri, Mohammadreza and محمدرضا صابری and Haddad-Mashadrizeh, Aliakbar},
title = {Bioinformatics analysis of upstream regions and protein structure of fungal phytase gene},
journal = {Archives of Razi Institute},
year = {2018},
volume = {73},
number = {3},
month = {October},
issn = {0365-3439},
pages = {229--237},
numpages = {8},
keywords = {Fungal phytase; Bioinformatics; Homology modelling; Molecular docking; Upstream regions analysis},
}

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%0 Journal Article
%T Bioinformatics analysis of upstream regions and protein structure of fungal phytase gene
%A Gholizade, Maryam
%A Nassiri, Mohammadreza
%A محمدرضا صابری
%A Haddad-Mashadrizeh, Aliakbar
%J Archives of Razi Institute
%@ 0365-3439
%D 2018

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