A Hybrid of Bat Algorithm and Minimization of Metabolic Adjustment for Succinate and Lactate Production

Mei Yen Man, Mohd Saberi Mohamad, Yee Wen Choon, Mohd Arfian Ismail

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The elementary concept of metabolic engineering is to manipulate those potential genes to augment the yields of metabolite production by restructuring and deregulating the metabolic networks. However, the yields of biochemical products are far below their theoretical maximums, although many conventional methods that have been introduced. These conventional methods had encountered problems in getting stuck at a local minimum. This paper proposes a hybrid of the Bat Algorithm (BAT) and the Minimization of Metabolic Adjustment (MOMA) to predict an ideal set of solutions in order to improve the production of succinate and lactate. The dataset utilized in this paper was the Escherichia coli core model, which is the subset of the iAF1260 E. coli metabolic network. The experimental results include the production rate, growth rate, and a list of knockout genes. From the comparative analysis, BATMOMA has better performance in terms of production rate compared to previous works, proving that it has the potential for resolving genetic engineering problems.

Original languageEnglish
Title of host publicationPractical Applications of Computational Biology and Bioinformatics, 14th International Conference, PACBB 2020
EditorsGabriella Panuccio, Miguel Rocha, Florentino Fdez-Riverola, Mohd Saberi Mohamad, Roberto Casado-Vara
PublisherSpringer
Pages166-175
Number of pages10
ISBN (Print)9783030545673
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event14th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2020 - L´Aquila, Italy
Duration: Jun 17 2020Jun 19 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1240 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference14th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2020
Country/TerritoryItaly
CityL´Aquila
Period6/17/206/19/20

Keywords

  • Artificial intelligence
  • Bat Algorithm
  • Bioinformatics
  • Escherichia coli
  • Gene knockout strategy
  • Lactate
  • Metabolic engineering
  • Minimization of Metabolic Adjustment
  • Succinate

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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