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Volumn 650, Issue 2, 2009, Pages 167-174
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Novel chemometric strategy based on the application of artificial neural networks to crossed mixture design for the improvement of recombinant protein production in continuous culture
d
Zelltek SA
*
(Argentina)
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Author keywords
Artificial neural networks; Crossed mixture experimental design; Culture medium formulation
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Indexed keywords
ARTIFICIAL NEURAL NETWORK;
ARTIFICIAL NEURAL NETWORKS;
CHEMOMETRICES;
CHO CELL;
CONTINUOUS CULTURE;
CROSSED MIXTURE EXPERIMENTAL DESIGN;
CULTURE MEDIA;
CULTURE MEDIUM FORMULATION;
EMPIRICAL DATA;
EXPERIMENTAL DESIGN;
MAMMALIAN CELLS;
MIXTURE DESIGN;
MULTIRESPONSE;
PRODUCTION PROCESS;
REAL-LIFE SYSTEMS;
RECOMBINANT PROTEIN;
RECOMBINANT PROTEIN PRODUCTIONS;
SPECIFIC GROWTH RATE;
ANIMAL CELL CULTURE;
BACKPROPAGATION;
CELL CULTURE;
DESIGN OF EXPERIMENTS;
GENETIC ENGINEERING;
MAMMALS;
MIXTURES;
PRODUCTION ENGINEERING;
PROTEINS;
STATISTICS;
NEURAL NETWORKS;
RECOMBINANT PROTEIN;
ANIMAL CELL;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
BIOTECHNOLOGICAL PRODUCTION;
CHEMOMETRIC ANALYSIS;
CHO CELL;
CONTINUOUS CULTURE;
CONTINUOUS STIRRED TANK REACTOR;
CONTROLLED STUDY;
CULTURE MEDIUM;
GROWTH RATE;
NONHUMAN;
PRIORITY JOURNAL;
PROCESS DESIGN;
PROCESS OPTIMIZATION;
ALGORITHMS;
ANIMALS;
BIOREACTORS;
CELL CULTURE TECHNIQUES;
CHO CELLS;
CRICETINAE;
CRICETULUS;
CULTURE MEDIA;
NEURAL NETWORKS (COMPUTER);
RECOMBINANT PROTEINS;
MAMMALIA;
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EID: 69249135420
PISSN: 00032670
EISSN: 18734324
Source Type: Journal
DOI: 10.1016/j.aca.2009.07.051 Document Type: Article |
Times cited : (10)
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References (34)
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