Prediction of Vanillin and Glutamate Productions in Yeast Using a Hybrid of Continuous Bees Algorithm and Flux Balance Analysis (CBAFBA)

ISSN: 2212-392X (Online)
ISSN: 1574-8936 (Print)


Volume 9, 5 Issues, 2014


Download PDF Flyer




Current Bioinformatics

Aims & ScopeAbstracted/Indexed in

Ranking and Category:
  • 20th of 52 in Mathematical & Computational Biology

Submit Abstracts Online Submit Manuscripts Online

Editor-in-Chief:
Alessandro Giuliani
Istituto Superiore di Sanitá (Italian NIH) Environment and Health Dept
Roma
Italy


View Full Editorial Board

Subscribe Purchase Articles Order Reprints

Current: 1.726
5 - Year: 1.577

Prediction of Vanillin and Glutamate Productions in Yeast Using a Hybrid of Continuous Bees Algorithm and Flux Balance Analysis (CBAFBA)

Author(s): Leang Huat Yin, Yee Wen Choon, Mohd Saberi Mohamad, Lian En Chai, Chuii Khim Chong, Afnizanfaizal Abdullah, Safaai Deris and Rosli M Illias

Affiliation: Artificial Intelligence & Bioinformatics Research Group, Faculty of Computing, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia.

Abstract

Most food and beverages contain artificial flavor compounds. Creation of artificial flavors is not an easy step and it is hardly ever completely effective. In this paper, we introduce an in silico method in optimization of microbial strains of flavor compound synthesis. Previously, several algorithms exist such as Genetic Algorithm, Evolutionary Algorithm, Opt Knock tool and other related techniques which are widely used to predict the yield of target compound by suggesting the gene knockouts. The use of these algorithms or tools to is able to predict the yield of production instead of using trial and error method for gene deletions. Nowadays, without using in silico method, the direct experiment methods are not cost effective and time consuming. As we know, the cost of chemical is expensive and not all flavorists are able to afford the cost. However, the main limitations of previous algorithms are that they failed to optimize the prediction of the yield and suggesting unrealistic flux distribution. Therefore, this paper proposed a hybrid of continuous Bees algorithm and Flux Balance Analysis. The target compound in this research is vanillin and glutamate compound. The aim of study is to identify optimum gene knockouts. The results in this paper are the prediction of the yield and the growth rate values of the model. The predictive results showed that the improvement in terms of yield may help in food flavorings.

Keywords: Continuous bees algorithm, flux balance analysis, glutamate, optimization, vanillin, yeast.

Purchase Online Order Reprints Order Eprints Rights and Permissions

  
  



Article Details

Volume: 9
Issue Number: 3
First Page: 284
Last Page: 294
Page Count: 11
DOI: 10.2174/1574893608666131120233937
Advertisement

Related Journals




Webmaster Contact: urooj@benthamscience.org Copyright © 2014 Bentham Science