Computational Structural Analysis and Homology Modelling of Beta-Xylanase from Bifidobacterium pullorum: A Comprehensive In-Silico Investigation

Authors

  • Abdul Qadeer Baseer Department of Biology, Faculty of Education, Kandahar University, Kandahar, AFGHANISTAN.
  • Shafiqullah Mushfiq Department of Biology, Faculty of Education, Kandahar University, Kandahar, AFGHANISTAN.
  • Abdul Wahid Monib Department of Biology, Faculty of Education, Kandahar University, Kandahar, AFGHANISTAN.
  • Mohammad Hassan Hassand Faculty of Biology and biotechnology, Al Farabi Kazakh National University, 71 Al-Farabi Ave, Almaty 050040, KAZAKHSTAN.
  • Parwiz Niazi Department of Biology, Faculty of Education, Kandahar University, Kandahar, AFGHANISTAN.

DOI:

https://doi.org/10.55544/jrasb.2.6.9

Keywords:

Mesophilic, Beta-xylanase, Biogas, Xylan, Bio-renewable energy, Genomic

Abstract

Bifidobacterium pullorum, commonly found in chicken waste and preferring mesophilic characteristics, contains an enzyme known as Beta-Xylanase. This enzyme effectively breaks down xylan, offering potential for creating biogas, like methane, and biofuels, such as ethanol. Scientists are actively exploring sustainable energy sources, while industries aim for cost-effective methods to decrease operational expenses. The conventional methods for producing biogas and biofuels involve high-temperature processes using fuel combustion, leading to significant expenses. To address this, mesophilic bacteria present a promising alternative for more cost-efficient biofuel production. This study is the first to delve into the genomic and three-dimensional structure of beta-xylanase, crucial for breaking down xylan. Our findings highlight that the beta-xylanase in Bifidobacterium pullorum showcases a TIM-barrel structure, similar to other GH10 xylanases essential in carbohydrate breakdown. This indicates a potential connection between Bifidobacterium pullorum's beta-xylanase and the improvement of biogas production.

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Published

2023-12-16

How to Cite

Baseer, A. Q., Mushfiq, S., Monib, A. W., Hassand, M. H., & Niazi, P. (2023). Computational Structural Analysis and Homology Modelling of Beta-Xylanase from Bifidobacterium pullorum: A Comprehensive In-Silico Investigation. Journal for Research in Applied Sciences and Biotechnology, 2(6), 49–57. https://doi.org/10.55544/jrasb.2.6.9

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