Identifying gene knockout strategies using a hybrid of bees algorithm and flux balance analysis for in silico optimization of microbial strains

Advances in Intelligent and Soft Computing

Volumn 151 AISC, Issue , 2012, Pages 371-378

  Choon, Yee Wen ^a   Mohamad, Mohd Saberi ^a   Deris, Safaai ^a   Chong, Chuii Khim ^a   Chai, Lian En ^a   Ibrahim, Zuwairie ^a   Omatu, Sigeru ^b  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

^b OSAKA INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Bees Algorithm; Evolutionary Programming; Gene Knockout; Metabolic Engineering; Optimization

Indexed keywords

BEES ALGORITHMS; ENGINEERING PROBLEMS; FLUX BALANCE ANALYSIS; GENE DELETION; GENE KNOCKOUT; GENE MODIFICATION; GENOME-SCALE METABOLIC NETWORK; IN-SILICO; LOCAL MINIMA PROBLEMS; LOCAL MINIMUMS; MICROBIAL STRAIN; MODEL ORGANISMS; OPTIMAL SETS; OPTIMIZATION ALGORITHMS;

ARTIFICIAL INTELLIGENCE; COMPUTER PROGRAMMING; EVOLUTIONARY ALGORITHMS; GENES; GENETIC ENGINEERING; METABOLIC ENGINEERING; OPTIMIZATION;

ALGORITHMS;

EID: 84864303934     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-28765-7_44     Document Type: Conference Paper

References (7)

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