TY - GEN
T1 - A hybrid of harmony search and minimization of metabolic adjustment for optimization of succinic acid production
AU - Wahid, Nor Syahirah Abdul
AU - Mohamad, Mohd Saberi
AU - Salleh, Abdul Hakim Mohamed
AU - Deris, Safaai
AU - Chan, Weng Howe
AU - Omatu, Sigeru
AU - Corchado, Juan Manuel
AU - Sjaugi, Muhammad Farhan
AU - Ibrahim, Zuwairie
AU - Yusof, Zulkifli Md
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - Succinic acid has been favored by researchers due to its industrial multiuses. However, the production of succinic acid is far below cell theoretical maximum. The goal of this research is to identify the optimal set of gene knockouts for obtaining high production of succinic acid in microorganisms. Gene knockout is a widely used genetic engineering technique. Hence, a hybrid of Harmony Search (HS) and Minimization of Metabolic Adjustment (MOMA) is proposed. The dataset applied is a core Escherichia coli metabolic network model. Harmony Search is a meta-heuristic algorithm inspired by musicians’ improvisation process. Minimization of Metabolic Adjustment is used to calculate fitness closest to the wild-type, after mutant gene knockout. The result obtained from the proposed hybrid technique are knockout genes list and production rate after the deletion. This proposed technique is possible to be applied in wet laboratory experiment to increase the production of succinic acid in E. coli.
AB - Succinic acid has been favored by researchers due to its industrial multiuses. However, the production of succinic acid is far below cell theoretical maximum. The goal of this research is to identify the optimal set of gene knockouts for obtaining high production of succinic acid in microorganisms. Gene knockout is a widely used genetic engineering technique. Hence, a hybrid of Harmony Search (HS) and Minimization of Metabolic Adjustment (MOMA) is proposed. The dataset applied is a core Escherichia coli metabolic network model. Harmony Search is a meta-heuristic algorithm inspired by musicians’ improvisation process. Minimization of Metabolic Adjustment is used to calculate fitness closest to the wild-type, after mutant gene knockout. The result obtained from the proposed hybrid technique are knockout genes list and production rate after the deletion. This proposed technique is possible to be applied in wet laboratory experiment to increase the production of succinic acid in E. coli.
KW - Artificial intelligence
KW - Bioinformatics
KW - Gene knockout
KW - Harmony Search
KW - Metabolic engineering
KW - Minimization of Metabolic Adjustment
UR - http://www.scopus.com/inward/record.url?scp=84976407174&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84976407174&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-40126-3_19
DO - 10.1007/978-3-319-40126-3_19
M3 - Conference contribution
AN - SCOPUS:84976407174
SN - 9783319401256
T3 - Advances in Intelligent Systems and Computing
SP - 183
EP - 191
BT - 10th International Conference on Practical Applications of Computational Biology and Bioinformatics
A2 - Fdez-Riverola, Florentino
A2 - De Paz, Juan F.
A2 - Rocha, Miguel P.
A2 - Mayo, Francisco J. Domínguez
A2 - Mohamad, Mohd Saberi
PB - Springer Verlag
T2 - International Conference on Practical Applications of Computational Biology and Bioinformatics PACBB, 2016
Y2 - 1 June 2016 through 3 June 2016
ER -