In silico analysis to elect superior bacterial alkaline protease for detergent and leather industries

Authors

  • Kamonashis Das Shahjalal University of Science and Technology, Sylhet-3114 CANSi Research Institute, SUST, Sylhet
  • Sourav Chakraborty Shahjalal University of Science and Technology, Sylhet-3114 CANSi Research Institute, SUST, Sylhet
  • Mahmudul Hasan Shahjalal University of Science and Technology, Sylhet-3114 CANSi Research Institute, SUST, Sylhet
  • Abdullah Maruf Rahman Shovo Shahjalal University of Science and Technology, Sylhet-3114

DOI:

https://doi.org/10.24297/jbt.v5i3.1482

Keywords:

Alkaline protease, Isoelectric point, Aliphatic index, Common motif.

Abstract

Alkaline protease contributes 40% of the total worldwide enzyme sales. Alkaline protease that is stable at very high temperature and pH is massively desirable for detergent industry and leather industry specially in tanning process. So the present study aims to elect superior bacterial alkaline protease (high temperature and pH stable) as compared to the alkaline proteases of currently industrially used bacteria (Bacillus subtilis and Bacillus cereus). A total of 50 protein sequences of alkaline proteases of different bacteria were analyzed through in silico characterization. ProtParam result revealed that isoelectric point and aliphatic index of alkaline protease of Bacillus megaterium were 8.83 and 93.35 respectively. In case of alkaline protease of B. megaterium, these two properties were significant in comparison to alkaline proteases of industrially used bacteria and other considered bacteria. A common motif of 28 amino acid residues i.e., IQSTYPGEDYEYMSGTSMATPHVAGVAA was found using MEME software in 46 protein sequences. It can be concluded that alkaline protease of Bacillus megaterium may be superior to alkaline proteases of industrially used bacteria and other considered bacteria. In addition, obtained common motif indicates its probable role in catalytic function and structure of alkaline proteases.

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Author Biographies

Kamonashis Das, Shahjalal University of Science and Technology, Sylhet-3114 CANSi Research Institute, SUST, Sylhet

Department of Genetic Engineering and Biotechnology

Sourav Chakraborty, Shahjalal University of Science and Technology, Sylhet-3114 CANSi Research Institute, SUST, Sylhet

Department of Genetic Engineering and Biotechnology

Mahmudul Hasan, Shahjalal University of Science and Technology, Sylhet-3114 CANSi Research Institute, SUST, Sylhet

Department of Genetic Engineering and Biotechnology

Abdullah Maruf Rahman Shovo, Shahjalal University of Science and Technology, Sylhet-3114

Department of Genetic Engineering and Biotechnology

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Published

2016-03-15

How to Cite

Das, K., Chakraborty, S., Hasan, M., & Shovo, A. M. R. (2016). In silico analysis to elect superior bacterial alkaline protease for detergent and leather industries. JOURNAL OF ADVANCES IN BIOTECHNOLOGY, 5(3), 685–698. https://doi.org/10.24297/jbt.v5i3.1482

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Articles