Optimization to the Culture Conditions for Phellinus Production with Regression Analysis and Gene-Set Based Genetic Algorithm.
Phellinus is a kind of fungus and is known as one of the elemental components in drugs to avoid cancers. With the purpose of finding optimized culture conditions for Phellinus production in the laboratory, plenty of experiments focusing on single factor were operated and large scale of experimental data were generated. In this work, we use the data collected from experiments for regression analysis, and then a mathematical model of predicting Phellinus production is achieved. Subsequently, a gene-set based genetic algorithm is developed to optimize the values of parameters involved in culture conditions, including inoculum size, PH value, initial liquid volume, temperature, seed age, fermentation time, and rotation speed. These optimized values of the parameters have accordance with biological experimental results, which indicate that our method has a good predictability for culture conditions optimization.
College of Computer and Communication Engineering, China University of Petroleum, Qingdao, Shandong 266580, China.
Zhongwei
Z
Li
College of Computer and Communication Engineering, China University of Petroleum, Qingdao, Shandong 266580, China.
Yuezhen
Y
Xin
College of Computer and Communication Engineering, China University of Petroleum, Qingdao, Shandong 266580, China; Center for Bioengineering and Biotechnology, China University of Petroleum, Qingdao, Shandong 266580, China.
Xun
X
Wang
College of Computer and Communication Engineering, China University of Petroleum, Qingdao, Shandong 266580, China.
Beibei
B
Sun
Center for Bioengineering and Biotechnology, China University of Petroleum, Qingdao, Shandong 266580, China.
Shengyu
S
Xia
Center for Bioengineering and Biotechnology, China University of Petroleum, Qingdao, Shandong 266580, China.
Hui
H
Li
Center for Bioengineering and Biotechnology, China University of Petroleum, Qingdao, Shandong 266580, China.
Hu
0000-0002-0478-6392
H
Zhu
D000465:Algorithms; D061249:Batch Cell Culture Techniques / Q000379:methods*; D017077:Culture Media, Conditioned / Q000494:pharmacology*; D005285:Fermentation / Q000502:physiology*; D005658:Fungi / Q000254:growth & development*; D006863:Hydrogen-Ion Concentration; D008962:Models, Theoretical; D012044:Regression Analysis; D013696:Temperature
D017077:Culture Media, Conditioned