A Bioinformatics Approach for Identification of Micro-organism Showing Highest Homology for Lipase B Gene

Authors

  • Surabhi Kavitha Centre for Innovative Research, IST, Jawaharlal Nehru Technological University Hyderabad (JNTUH), Kukatpally-500085, Hyderabad, Telangana, India.
  • Santosh Kumar Behera Biomedical Informatics Centre at Regional Medical Research Centre (ICMR), Bhubaneswar
  • Sheik Aliya Centre for Innovative Research, IST, Jawaharlal Nehru Technological University Hyderabad (JNTUH), Kukatpally-500085, Hyderabad, Telangana, India.
  • Adepelly Uma Centre for Innovative Research, IST, Jawaharlal Nehru Technological University Hyderabad (JNTUH), Kukatpally-500085, Hyderabad, Telangana, India.

Keywords:

Sporisorium reilianum srz2, Candida antarctica, lipase B gene

Abstract

Lipase-B from Candida antarctica is used as effective biocatalyst in various industries mainly in the preparation of drugs like S-Pregabalin. But the production of this enzyme from this organism is very difficult for Indian conditions. In the present study, a putative gene was identified with the help of bioinformatics. Results obtained showed Sporisorium reilianum srz2 lipase B gene 75% homology with Candida antarctica lipase B (CALB) gene. Docking with substrate (IBG-Di-Methyl ester) also proved to be very efficient. The two organisms were having similar structure and function of industrial important enzyme Lipase B. The analysis proved to be significant as lipase B can be produced from non-pathogenic microorganism in a cost effective method.

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Published

2017-09-29

How to Cite

Surabhi Kavitha, Santosh Kumar Behera, Sheik Aliya, & Adepelly Uma. (2017). A Bioinformatics Approach for Identification of Micro-organism Showing Highest Homology for Lipase B Gene. World Journal of Pharmaceutical Sciences, 5(10), 8–19. Retrieved from https://wjpsonline.com/index.php/wjps/article/view/bioinformatics-identification-highest-homology-lipase-b-gene

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Section

Research Article