A genetic algorithm for the optimization of the thermoinduction protocol for high-level production of recombinant human-like collagen from Escherichia coli

被引：13
作者：
Chi, Lei [1 ,2 ]
Fan, Dai-Di [1 ,2 ]
Ma, Xiao-Xuan [1 ,2 ]
Mi, Yu [1 ,2 ]
Luo, Yan-E [1 ,2 ]
Zhu, Chen-Hui [1 ,2 ]
Zhu, Xiao-Li [1 ,2 ]
Xue, Wen-Jiao [3 ]
机构：
[1] NW Univ Xian, Shaanxi Key Lab Degradable Biomed Mat, Sch Chem Engn, Xian 710069, Peoples R China
[2] NW Univ Xian, Shaanxi R&D Ctr Biomat & Fermentat Engn, Sch Chem Engn, Xian 710069, Peoples R China
[3] Shaanxi Prov Inst Microbiol, Xian, Peoples R China
来源：
BIOTECHNOLOGY AND APPLIED BIOCHEMISTRY | 2011年 / 58卷 / 03期
基金：
中国国家自然科学基金; 高等学校博士学科点专项科研基金; 国家高技术研究发展计划(863计划);
关键词：
artificial neural networks; collagen; genetic algorithm; high cell density cultivation; recombinant Escherichia coli; thermoinduction; FED-BATCH CULTURE; EXPRESSION; MODEL; PROMOTERS; KINETICS; PROTEIN; PH;
D O I：
10.1002/bab.25
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
Production of recombinant human-like collagen (RHLC) by thermoinduction of recombinant Escherichia coli BL 21 during high cell density cultivation was investigated in a 30 L bioreactor. The effects of induction temperature (7), pH, and carbon-to-nitrogen molar ratio of the nutrient medium (C/N) were examined. The optimal thermoinduction protocol for RHLC production was determined by using a model coupling genetic algorithm and artificial neural networks. The optimal operating conditions were as follows: maintenance of induction temperature at 42 degrees C for 3 H and then at 39.4 degrees C until the end, induction pH at 7.03, and C/N at 4.8 (mol/mol). The theoretical maximum concentration of RHLC was 12.5 g/L, whereas the experimental value was 12.1 g/L under the optimal induction conditions. (C) 2011 International Union of Biochemistry and Molecular Biology, Inc. Volume 58, Number 3, May/June 2011, Pages175-184. E-mail: fandaidi@nwu.edu.cn
引用
收藏
页码：175 / 184
页数：10
相关论文
共 32 条
  • [1] ANKE S, 1995, ENZYME MICROBIOL TEC, V17, P947
  • [2] Arís A, 1998, BIOTECHNOL BIOENG, V60, P551, DOI 10.1002/(SICI)1097-0290(19981205)60:5<551::AID-BIT5>3.0.CO
  • [3] 2-M
  • [4] BOTZ DW, 2001, BIOCH ENG J, V7, P163
  • [5] Impact of carbon and nitrogen conditions on E-coli surface thermodynamics
    Chen, G
    Strevett, KA
    [J]. COLLOIDS AND SURFACES B-BIOINTERFACES, 2003, 28 (2-3) : 135 - 146
  • [6] An on-line adaptive control based on DO/pH measurements and ANN pattern recognition model for fed-batch cultivation
    Duan, Shengbing
    Shi, Zhongping
    Feng, Haojie
    Duan, Zuoying
    Mao, Zhonggui
    [J]. BIOCHEMICAL ENGINEERING JOURNAL, 2006, 30 (01) : 88 - 96
  • [7] Product shifting by controlling medium pH in immobilised Streptomyces coelicolor A3(2) culture
    Elibol, M
    [J]. PROCESS BIOCHEMISTRY, 2002, 37 (12) : 1381 - 1386
  • [8] Comparison of genetic algorithm and neural network approaches for the drying process of carrot
    Erenturk, Saliha
    Erenturk, Koksal
    [J]. JOURNAL OF FOOD ENGINEERING, 2007, 78 (03) : 905 - 912
  • [9] Golberg D. E., 1989, GENETIC ALGORITHMS S, V1989, P36
  • [10] Haykin S. S., 1994, Neural Networks: A Comprehensive Foundation
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