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In silico studies on bacterial xylanase enzyme: Structural and functional insight
Xylans are the second most abundant form of hemicelluloses and are the second most abundant polysaccharide in nature after cellulose. To degrade xylan, microbes produce mainly xylanase enzyme. Wide range of microorganisms like fungi, bacteria, yeast, marine algae etc. are capable of producing xylana...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Academy of Scientific Research and Technology, Egypt
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6353727/ https://www.ncbi.nlm.nih.gov/pubmed/30733796 http://dx.doi.org/10.1016/j.jgeb.2018.05.003 |
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author | Dutta, Bhramar Banerjee, Aparna Chakraborty, Priyanka Bandopadhyay, Rajib |
author_facet | Dutta, Bhramar Banerjee, Aparna Chakraborty, Priyanka Bandopadhyay, Rajib |
author_sort | Dutta, Bhramar |
collection | PubMed |
description | Xylans are the second most abundant form of hemicelluloses and are the second most abundant polysaccharide in nature after cellulose. To degrade xylan, microbes produce mainly xylanase enzyme. Wide range of microorganisms like fungi, bacteria, yeast, marine algae etc. are capable of producing xylanase. Main source of xylanase is fungi but industrial production of bacterial xylanase is low cost, easy downstream process and high production rate. To understand primary, secondary and tertiary structure of xylanase, in silico composition of amino acids, basic physiological characteristics; viz., pI, molecular weight, instability index, GRAVY, molar extinction coefficient, secondary structure, presence of functional domain and motifs, phylogenetic tree, salt bridge compositions are determined. In silico study of xylanase focused on 36 different bacterial sources are performed by retrieving FASTA and PDB sequences using RCSB PDB. FASTA and PDB files are proceed further in ExPASy-ProtParam, RAMPAGE, QMEAN, MEME, PSIPRED, InterProScan, MOTIF scan, ERRAT, Peptide cutter, ESBRI and MEGA 7. The instability index range (16.90–38.78) clearly indicates that the protein is highly stable. α-helix mean value (27.11%) infers the protein is dominated by α-helix region. The aliphatic index (39.80–90.68) gives information that the protein is highly thermostable, prevalence by alanine amino acid in aliphatic side chain. No transmembrane domain was found in the protein which confirms the enzyme is extracellular in nature. Ancestor chart analysis confirmed that it is a part of carbohydrate metabolic process and more specifically a member of glycoside hydrolase super family. |
format | Online Article Text |
id | pubmed-6353727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Academy of Scientific Research and Technology, Egypt |
record_format | MEDLINE/PubMed |
spelling | pubmed-63537272019-02-07 In silico studies on bacterial xylanase enzyme: Structural and functional insight Dutta, Bhramar Banerjee, Aparna Chakraborty, Priyanka Bandopadhyay, Rajib J Genet Eng Biotechnol In Silico Biotechnology Xylans are the second most abundant form of hemicelluloses and are the second most abundant polysaccharide in nature after cellulose. To degrade xylan, microbes produce mainly xylanase enzyme. Wide range of microorganisms like fungi, bacteria, yeast, marine algae etc. are capable of producing xylanase. Main source of xylanase is fungi but industrial production of bacterial xylanase is low cost, easy downstream process and high production rate. To understand primary, secondary and tertiary structure of xylanase, in silico composition of amino acids, basic physiological characteristics; viz., pI, molecular weight, instability index, GRAVY, molar extinction coefficient, secondary structure, presence of functional domain and motifs, phylogenetic tree, salt bridge compositions are determined. In silico study of xylanase focused on 36 different bacterial sources are performed by retrieving FASTA and PDB sequences using RCSB PDB. FASTA and PDB files are proceed further in ExPASy-ProtParam, RAMPAGE, QMEAN, MEME, PSIPRED, InterProScan, MOTIF scan, ERRAT, Peptide cutter, ESBRI and MEGA 7. The instability index range (16.90–38.78) clearly indicates that the protein is highly stable. α-helix mean value (27.11%) infers the protein is dominated by α-helix region. The aliphatic index (39.80–90.68) gives information that the protein is highly thermostable, prevalence by alanine amino acid in aliphatic side chain. No transmembrane domain was found in the protein which confirms the enzyme is extracellular in nature. Ancestor chart analysis confirmed that it is a part of carbohydrate metabolic process and more specifically a member of glycoside hydrolase super family. Academy of Scientific Research and Technology, Egypt 2018-12 2018-05-31 /pmc/articles/PMC6353727/ /pubmed/30733796 http://dx.doi.org/10.1016/j.jgeb.2018.05.003 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 Dutta, Bhramar Banerjee, Aparna Chakraborty, Priyanka Bandopadhyay, Rajib In silico studies on bacterial xylanase enzyme: Structural and functional insight |
title | In silico studies on bacterial xylanase enzyme: Structural and functional insight |
title_full | In silico studies on bacterial xylanase enzyme: Structural and functional insight |
title_fullStr | In silico studies on bacterial xylanase enzyme: Structural and functional insight |
title_full_unstemmed | In silico studies on bacterial xylanase enzyme: Structural and functional insight |
title_short | In silico studies on bacterial xylanase enzyme: Structural and functional insight |
title_sort | in silico studies on bacterial xylanase enzyme: structural and functional insight |
topic | In Silico Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6353727/ https://www.ncbi.nlm.nih.gov/pubmed/30733796 http://dx.doi.org/10.1016/j.jgeb.2018.05.003 |
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