Genetic Algorithm Optimization of L-Glutaminase from novel mutated Bacillus sps

Order of Publishing in Issue: 
6
Volume :13
Issue :1
January, 2019 - March, 2019
Page No: 
50-57
Authors: 
Chandrasai Potla Durthi[1], Madhuri Pola[1], Sudhakar Podha[2], Satish Babu Rajulapati[1*]
Address: 
[1]Department of Biotechnology, National Institute of Technology Warangal, Telangana, India
Address: 
[2]Department of Biotechnology, Acharya Nagarjuna University, Guntur, A.P, India
Email-ID: 
satishbabu@nitw.ac.in

L-Glutaminase is one of the most promising biocatalyst to treat Acute Lymphoblastic Leukaemia (ALL). The anticancer drugs which are available in the market are costly and have many side effects. Attempts have been made to overcome these problems. In addition, it has economic importance due to its flavour enhancing property in fermented food industry. A novel Bacillus sps was isolated from Ocimum tenuiflorum which is able to produce L-Glutaminase. Random mutation experiments were performed on this endophyte to maximize L-Glutaminase activity. Optimization studies were carried out by both traditional and statistical methods. Genetic Algorithm (GA) finds the global optimal solution by using Darwin’s natural selection. Genetic Algorithm was employed on four components (Constraints)–Galactose (1-3 g/L), Time (24-48 h), Temperature (20-40°C) and pH (5.0-9.0) for optimization of L-Glutaminase activity. The polynomial equation obtained from RSM was used as objective function with above four constraints. Experiments were performed at GA optimized variable values for validation. At GA optimized variable values the L-Glutaminase activity was observed to be 27.8 IU/ml.

Keywords: 
Acute Lymphoblastic Leukaemia (ALL), Genetic Algorithm (GA), Endophyte, Biocatalyst, Global optimal solution.
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