Using bees hill flux balance analysis (BHFBA) for in silico microbial strain optimization

• Main Authors: Yee, Wen Choon, Mohamad, Mohd. Saberi, Deris, Safaai, Md. Illias, Rosli, Lian, En Chai, Chuii, Khim Chong
• Format: Conference or Workshop Item
• Published: 2013
• Subjects: QA Mathematics
• Online Access: http://eprints.utm.my/id/eprint/51385/; https://doi.org/10.1007/978-3-642-36546-1_39

Microbial strains can be manipulated to improve product yield and improve growth characteristics. Optimization algorithms are developed to identify the effects of gene knockout on the results. However, this process is often faced the problem of being trapped in local minima and slow convergence due...