Journal of
Bioinformatics and Sequence Analysis

  • Abbreviation: J. Bioinform. Seq. Anal.
  • Language: English
  • ISSN: 2141-2464
  • DOI: 10.5897/JBSA
  • Start Year: 2009
  • Published Articles: 49

Full Length Research Paper

In silico characterization of beta-galactosidase using computational tools

Gangadhar. C. Gouripur
  • Gangadhar. C. Gouripur
  • Department of Studies and Research in Biotechnology and Microbiology, Karnatak University, Dharwad - 580 003, India.
  • Search for this author on:
  • Google Scholar
Rohit. B. Kaliwal
  • Rohit. B. Kaliwal
  • Department of MCA, Vishwsvaraya Technological University, P.G Centre Regional Office, Gulbarga- 585106, India.
  • Search for this author on:
  • Google Scholar
Basappa. B. Kaliwal
  • Basappa. B. Kaliwal
  • Department of Studies in Biotechnology and Microbiology, Karnatak University, Dharwad, Karnataka, India.
  • Search for this author on:
  • Google Scholar


  •  Received: 21 February 2015
  •  Accepted: 25 August 2015
  •  Published: 31 July 2016

Abstract

β-galactosidase (EC.3.2.1.23) is an important enzyme, mainly used in the preparation of lactose hydrolyzed milk suitable for people with lactose intolerance. It is essential to understand the structural and functional aspects of various β-galactosidase produced from different sources. The present work deals with the use of bioinformatics to describe the physiochemical, functional and structural properties of β-galactosidase enzymes on Bacillus sp. selected from the gene bank of NCBI. The grand average hydropathy (GRAVY) and low range of AFY63015.1 value indicates the possibility of better interaction with water and instability index were computed to characterise YP_004205251.1, ZP_10511829.1, BAL72724.1, AFY63015.1, NP_242888.1 stating that they are stable and disulfide bridges, CYS_REC recognizes the presence of 38 cysteine residues in β-galactosidase sequences and predicted most probable SS bond patterns of pairs in YP_004981461 and 1AFY63015.1. The self- optimized prediction method (SOPM) was used to predict the secondary structure. The SOPM results indicated the presence of alpha helix is more dominated in sequences AFY63015.1 and YP_004981461.1. Overall this represents in silico analysis of sequence, structural and functional information of β-galactosidase of Bacillus species.
 
Key words: Bacillus sp., β-galactosidase, in silico analysis, physico-chemical characterization, proteomics tools.

Copyright © 2024 Author(s) retain the copyright of this article.

This article is published under the terms of the Creative Commons Attribution License 4.0

Back to Vol. 8 No. 1
Back to articles
SUBSCRIBE TO RSS
SUBMIT MANUSCRIPT
CONFERENCES