A Hybrid of Particle Swarm Optimization and Minimization of Metabolic Adjustment for Ethanol Production of Escherichia Coli

Mee K. Lee, Mohd Saberi Mohamad, Yee Wen Choon, Kauthar Mohd Daud, Nurul Athirah Nasarudin, Mohd Arfian Ismail, Zuwairie Ibrahim, Suhaimi Napis, Richard O. Sinnott

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

1 Citation (Scopus)

Abstract

Ethanol is a chemical-colourless compound that widely used in pharmaceutical, medicines, food products, and industrial applications. As the demand for ethanol is rising recently, attention has been given on metabolic engineering of Escherichia coli (E.coli) to enhance its production through alteration of its genetic content. This research mainly aimed to optimize ethanol production in E.coli using a gene knockout strategy. Several gene knockout strategies like OptKnock and OptGene have been proposed previously. However, most of them suffer from premature convergence. Hence, a hybrid of Particle Swarm Optimization (PSO) and Minimization of Metabolic Adjustment (MOMA) algorithm is proposed to identify the list of gene knockouts in maximizing the ethanol production and growth rate of E.coli. Experiment results show that the hybrid method is comparable with two state-of-the-art methods in term of growth rate and production.

Original languageEnglish
Title of host publicationPractical Applications of Computational Biology and Bioinformatics, 13th International Conference, PACBB 2019
EditorsFlorentino Fdez-Riverola, Miguel Rocha, Mohd Saberi Mohamad, Nazar Zaki, José A. Castellanos-Garzón
PublisherSpringer Verlag
Pages36-44
Number of pages9
ISBN (Print)9783030238728
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event13th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2019 - Ávila, Spain
Duration: Jun 26 2019Jun 28 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1005
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference13th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2019
Country/TerritorySpain
CityÁvila
Period6/26/196/28/19

Keywords

  • Artificial intelligence
  • Bioinformatics
  • Metabolic engineering
  • Minimization of metabolic adjustment
  • Particle swarm optimization

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

Fingerprint

Dive into the research topics of 'A Hybrid of Particle Swarm Optimization and Minimization of Metabolic Adjustment for Ethanol Production of Escherichia Coli'. Together they form a unique fingerprint.

Cite this