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Gene Knockout Identification Using an Extension of Bees Hill Flux Balance Analysis
Joint Authors
Mohamad, Mohd Saberi
Deris, Safaai
Choon, Yee Wen
Chong, Chuii Khim
Omatu, Sigeru
Corchado Rodriguez, Juan Manuel
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-22
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Microbial strain optimisation for the overproduction of a desired phenotype has been a popular topic in recent years.
Gene knockout is a genetic engineering technique that can modify the metabolism of microbial cells to obtain desirable phenotypes.
Optimisation algorithms have been developed to identify the effects of gene knockout.
However, the complexities of metabolic networks have made the process of identifying the effects of genetic modification on desirable phenotypes challenging.
Furthermore, a vast number of reactions in cellular metabolism often lead to a combinatorial problem in obtaining optimal gene knockout.
The computational time increases exponentially as the size of the problem increases.
This work reports an extension of Bees Hill Flux Balance Analysis (BHFBA) to identify optimal gene knockouts to maximise the production yield of desired phenotypes while sustaining the growth rate.
This proposed method functions by integrating OptKnock into BHFBA for validating the results automatically.
The results show that the extension of BHFBA is suitable, reliable, and applicable in predicting gene knockout.
Through several experiments conducted on Escherichia coli, Bacillus subtilis, and Clostridium thermocellum as model organisms, extension of BHFBA has shown better performance in terms of computational time, stability, growth rate, and production yield of desired phenotypes.
American Psychological Association (APA)
Choon, Yee Wen& Mohamad, Mohd Saberi& Deris, Safaai& Chong, Chuii Khim& Omatu, Sigeru& Corchado Rodriguez, Juan Manuel. 2015. Gene Knockout Identification Using an Extension of Bees Hill Flux Balance Analysis. BioMed Research International،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1054264
Modern Language Association (MLA)
Choon, Yee Wen…[et al.]. Gene Knockout Identification Using an Extension of Bees Hill Flux Balance Analysis. BioMed Research International No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1054264
American Medical Association (AMA)
Choon, Yee Wen& Mohamad, Mohd Saberi& Deris, Safaai& Chong, Chuii Khim& Omatu, Sigeru& Corchado Rodriguez, Juan Manuel. Gene Knockout Identification Using an Extension of Bees Hill Flux Balance Analysis. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1054264
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1054264