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Identifying a Gene Knockout Strategy Using a Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis to Enhance the Production of Succinate and Lactate in Escherichia Coli.
Hon, Mei Kie; Mohamad, Mohd Saberi; Mohamed Salleh, Abdul Hakim; Choon, Yee Wen; Mohd Daud, Kauthar; Remli, Muhammad Akmal; Ismail, Mohd Arfian; Omatu, Sigeru; Sinnott, Richard O; Corchado, Juan Manuel.
Afiliação
  • Hon MK; Artificial Intelligence and Bioinformatics Research Group, School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, Skudai, Johor, Malaysia.
  • Mohamad MS; Institute For Artificial Intelligence and Big Data, Universiti Malaysia Kelantan, City Campus, Pengkalan Chepa, 16100, Kota Bharu, Kelantan, Malaysia. saberi@umk.edu.my.
  • Mohamed Salleh AH; Faculty of Bioengineering and Technology, Universiti Malaysia Kelantan, Jeli Campus, Lock Bag 100, 17600, Jeli, Kelantan, Malaysia. saberi@umk.edu.my.
  • Choon YW; Artificial Intelligence and Bioinformatics Research Group, School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, Skudai, Johor, Malaysia.
  • Mohd Daud K; Artificial Intelligence and Bioinformatics Research Group, School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, Skudai, Johor, Malaysia.
  • Remli MA; Artificial Intelligence and Bioinformatics Research Group, School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, Skudai, Johor, Malaysia.
  • Ismail MA; Soft Computing and Intelligent System Research Group, Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, 26300, Kuantan, Pahang, Malaysia.
  • Omatu S; Soft Computing and Intelligent System Research Group, Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, 26300, Kuantan, Pahang, Malaysia.
  • Sinnott RO; Department of System Design Engineering, Faculty of Robotics & Design Engineering, Osaka Institute of Technology, Osaka, 535-8585, Japan.
  • Corchado JM; School of Computing and Information Systems, University of Melbourne, Victoria, 3010, Australia.
Interdiscip Sci ; 11(1): 33-44, 2019 Mar.
Article em En | MEDLINE | ID: mdl-30758766
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ácido Láctico / Ácido Succínico / Escherichia coli / Redes e Vias Metabólicas / Técnicas de Inativação de Genes Tipo de estudo: Prognostic_studies Idioma: En Revista: Interdiscip Sci Assunto da revista: BIOLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Malásia País de publicação: Alemanha
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ácido Láctico / Ácido Succínico / Escherichia coli / Redes e Vias Metabólicas / Técnicas de Inativação de Genes Tipo de estudo: Prognostic_studies Idioma: En Revista: Interdiscip Sci Assunto da revista: BIOLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Malásia País de publicação: Alemanha