Literature DB >> 29805952

Computational-based structural, functional and phylogenetic analysis of Enterobacter phytases.

Krishnendu Pramanik1, Shreyasi Kundu1, Sandipan Banerjee1, Pallab Kumar Ghosh1, Tushar Kanti Maiti1.   

Abstract

Myo-inositol hexakisphosphate phosphohydrolases (i.e., phytases) are known to be a very important enzyme responsible for solubilization of insoluble phosphates. In the present study, Enterobacter phytases have characterized by different phylogenetic, structural and functional parameters using some standard bio-computational tools. Results showed that majority of the Enterobacter phytases are acidic in nature as most of the isoelectric points were under 7.0. The aliphatic indices predicted for the selected proteins were below 40 indicating their thermostable nature. The average molecular weight of the proteins was 48 kDa. The lower values of GRAVY of the said proteins implied that they have better interactions with water. Secondary structure prediction revealed that alpha-helical content was highest among the other forms such as sheets, coils, etc. Moreover, the predicted 3D structure of Enterobacter phytases divulged that the proteins consisted of four monomeric polypeptide chains i.e., it was a tetrameric protein. The predicted tertiary model of E. aerogenes (A0A0M3HCJ2) was deposited in Protein Model Database (Acc. No.: PM0080561) for further utilization after a thorough quality check from QMEAN and SAVES server. Functional analysis supported their classification as histidine acid phosphatases. Besides, multiple sequence alignment revealed that "DG-DP-LG" was the most highly conserved residues within the Enterobacter phytases. Thus, the present study will be useful in selecting suitable phytase-producing microbe exclusively for using in the animal food industry as a food additive.

Entities:  

Keywords:  Acidic phytases; Enterobacter spp.; Histidine phosphatase superfamily; In silico analysis; Myo-inositol hexakisphosphate phosphohydrolases; Thermostable

Year:  2018        PMID: 29805952      PMCID: PMC5960462          DOI: 10.1007/s13205-018-1287-y

Source DB:  PubMed          Journal:  3 Biotech        ISSN: 2190-5738            Impact factor:   2.406


  47 in total

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Authors:  Rui Zhang; Peilong Yang; Huoqing Huang; Pengjun Shi; Tiezheng Yuan; Bin Yao
Journal:  Curr Microbiol       Date:  2011-08-19       Impact factor: 2.188

4.  Thermostable alkaline phytase from Bacillus sp. MD2: effect of divalent metals on activity and stability.

Authors:  Thuy Thi Tran; Suhaila Omar Hashim; Yasser Gaber; Gashaw Mamo; Bo Mattiasson; Rajni Hatti-Kaul
Journal:  J Inorg Biochem       Date:  2011-04-21       Impact factor: 4.155

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6.  Enzymatic characterization of organic phosphorus in animal manure.

Authors:  Z He; C W Honeycutt
Journal:  J Environ Qual       Date:  2001 Sep-Oct       Impact factor: 2.751

Review 7.  Reduction of phytic acid and enhancement of bioavailable micronutrients in food grains.

Authors:  Raj Kishor Gupta; Shivraj Singh Gangoliya; Nand Kumar Singh
Journal:  J Food Sci Technol       Date:  2013-04-24       Impact factor: 2.701

8.  Protein-protein interaction network and mechanism analysis in ischemic stroke.

Authors:  Zhe Quan; Yuan Quan; Bo Wei; Dening Fang; Weidong Yu; Hao Jia; Wei Quan; Yuguang Liu; Qihong Wang
Journal:  Mol Med Rep       Date:  2014-10-17       Impact factor: 2.952

9.  Cost-effective strategies for completing the interactome.

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Journal:  Nat Methods       Date:  2008-12-14       Impact factor: 28.547

10.  A computational analysis of protein-protein interaction networks in neurodegenerative diseases.

Authors:  Joaquín Goñi; Francisco J Esteban; Nieves Vélez de Mendizábal; Jorge Sepulcre; Sergio Ardanza-Trevijano; Ion Agirrezabal; Pablo Villoslada
Journal:  BMC Syst Biol       Date:  2008-06-20
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  1 in total

Review 1.  Research status of Bacillus phytase.

Authors:  Ting Zhao; Xihao Yong; Ziming Zhao; Vincenza Dolce; Yuan Li; Rosita Curcio
Journal:  3 Biotech       Date:  2021-08-19       Impact factor: 2.893

  1 in total

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