Literature DB >> 417746

Kinetics of enzymatic hydrolysis of cellulose: analytical description of a mechanistic model.

M Okazaki, M Moo-Young.   

Abstract

A generalized mechanistic model for the enzymatic hydrolysis of cellulose is developed and expressed mathematically. The model is based on Michaelis--Menten-type kinetics for concurrent random and endwise attack of the substrate involving end-product inhibitions and three types of enzymes: an endo-beta-1,4-glucanase, an exo-beta-1,4-glucanase, and beta-glucosidase. Basic parameters of the model which can explain synergistic and other effects observed experimentally are quantified and discussed. It is shown that cellulose degradation kinetics are expected to be strongly affected by the ratio of endo- to exocellulases in the reaction mixture as indicated by previous experimental data, and the substrate degree of polymerization, a factor not fully appreciated in previous studies, which appear to be overridingly important in many practical cases.

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Year:  1978        PMID: 417746     DOI: 10.1002/bit.260200503

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  4 in total

1.  Substrate-velocity relationships for the Trichoderma viride cellulase-catalyzed hydrolysis of cellulose.

Authors:  E T Liaw; M H Penner
Journal:  Appl Environ Microbiol       Date:  1990-08       Impact factor: 4.792

2.  A cellular automaton model of crystalline cellulose hydrolysis by cellulases.

Authors:  Andrew C Warden; Bryce A Little; Victoria S Haritos
Journal:  Biotechnol Biofuels       Date:  2011-10-17       Impact factor: 6.040

3.  Modelling of amorphous cellulose depolymerisation by cellulases, parametric studies and optimisation.

Authors:  Hongxing Niu; Nilay Shah; Cleo Kontoravdi
Journal:  Biochem Eng J       Date:  2016-01-15       Impact factor: 3.978

4.  A coarse-grained model for synergistic action of multiple enzymes on cellulose.

Authors:  Andrea Asztalos; Marcus Daniels; Anurag Sethi; Tongye Shen; Paul Langan; Antonio Redondo; Sandrasegaram Gnanakaran
Journal:  Biotechnol Biofuels       Date:  2012-08-01       Impact factor: 6.040

  4 in total

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