A hybrid of Bees algorithm and regulatory on/off minimization for optimizing lactate and succinate production-Reference-Cited by-同舟云学术

A hybrid of Bees algorithm and regulatory on/off minimization for optimizing lactate and succinate production

Published:2022-07-19 Issue:3 Volume:19 Page:
ISSN:1613-4516
Container-title:Journal of Integrative Bioinformatics
language:en
Short-container-title:

Author:

Yong Mohd Izzat¹,Mohamad Mohd Saberi²³,Choon Yee Wen⁴⁵,Chan Weng Howe¹,Adli Hasyiya Karimah⁴⁵,Syazwan WSW Khairul Nizar⁴⁵,Yusoff Nooraini⁴⁵,Remli Muhammad Akmal⁴⁵

Affiliation:

1. Artificial Intelligence and Bioinformatics Research Group, Faculty of Computing , Universiti Teknologi Malaysia , 81310 Johor , Malaysia

2. Health Data Science Lab Department of Genetics and Genomics,College of Medical and Health Sciences , United Arab Emirates University , P.O. Box 17666, Al Ain , Abu Dhabi , United Arab Emirates

3. Big Data Analytics Center , United Arab Emirates University , Al Ain , Abu Dhabi , United Arab Emirates

4. Institute for Artificial Intelligence and Big Data , Universiti Malaysia Kelantan , Kota Bharu , 16100 , Kelantan , Malaysia

5. Department of Data Science , Universiti Malaysia Kelantan , City Campus, Pengkalan Chepa , 16100 Kota Bharu , Kelantan, Malaysia ,

Abstract

Abstract Metabolic engineering has expanded in importance and employment in recent years and is now extensively applied particularly in the production of biomass from microbes. Metabolic network models have been employed extravagantly in computational processes developed to enhance metabolic production and suggest changes in organisms. The crucial issue has been the unrealistic flux distribution presented in prior work on rational modelling framework adopting Optknock and OptGene. In order to address the problem, a hybrid of Bees Algorithm and Regulatory On/Off Minimization (BAROOM) is used. By employing Escherichia coli as the model organism, the most excellent set of genes in E. coli that can be removed and advance the production of succinate can be decided. Evidences shows that BAROOM outperforms alternative strategies used to escalate in succinate production in model organisms like E. coli by selecting the best set of genes to be removed.

Funder

Universiti Malaysia Kelantan

Kementerian Pendidikan Malaysia

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

Link

https://www.degruyter.com/document/doi/10.1515/jib-2022-0003/pdf

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