Modelling of glucoamylase thermal inactivation in the presence of starch by artificial neural network

Journal of Biotechnology

Volumn 114, Issue 1-2, 2004, Pages 177-185

  Bryjak, Jolanta ^a   Ciesielski, Krzysztof ^b   Zbiciński, Ireneusz ^b  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

^b LODZ UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Artificial neural network; Glucoamylase; Modelling; Stability modulation; Thermal inactivation

Indexed keywords

DYNAMIC NETWORKS; GLUCOAMYLASES; NEURAL MODELS; THERMAL INACTIVATION;

COMPUTER SIMULATION; ENZYMES; GLUCOSE; MATHEMATICAL MODELS; NEURAL NETWORKS; THERMAL EFFECTS;

BIOTECHNOLOGY;

GLUCAN 1,4 ALPHA GLUCOSIDASE; REAGENT; STARCH;

ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; DATA BASE; ENZYME ACTIVITY; ENZYME INACTIVATION; MOLECULAR DYNAMICS; MOLECULAR MODEL; NONHUMAN; PRIORITY JOURNAL; SIMULATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ASPERGILLUS NIGER; COMBINATORIAL CHEMISTRY TECHNIQUES; COMPUTER SIMULATION; ENZYME ACTIVATION; GLUCAN 1,4-ALPHA-GLUCOSIDASE; HEAT; KINETICS; MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); PROTEIN BINDING; PROTEIN DENATURATION; STARCH; SUBSTRATE SPECIFICITY; TEMPERATURE;

EID: 4644368380     PISSN: 01681656     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbiotec.2004.07.003     Document Type: Article

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