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

The objective function of the hybrid algorithm is optimized using a  swarm intelligence optimization algorithm and a Simple Constrained Artificial Bee Colony (SCABC) algorithm. The results maximize the production of lactate and succinate by resembling the gene knockout inE. coli. The  Flux Balance Analysis (FBA) is integrated in a hybrid algorithm to evaluate the growth rate ofE. coli as well as the  productions of lactate and succinate. This results in the identification of a gene knockout list that contributes to maximizing the production of lactate and succinate inE. coli.
Source: Interdisciplinary Sciences, Computational Life Sciences - Category: Bioinformatics Source Type: research

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Publication date: Available online 25 February 2020Source: Process BiochemistryAuthor(s): Sha Xu, Qin Wang, Weizhu Zeng, Youran Li, Guiyang Shi, Jingwen Zhou
Source: Process Biochemistry - Category: Biochemistry Source Type: research
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