Literature DB >> 10904554

Monte Carlo simulation of multiple attack mechanism of beta-amylase-catalyzed reaction.

H Nakatani1.   

Abstract

beta-Amylase (EC 3.2.1.2) produces maltose (dimer) from the nonreducing ends of alpha-1,4 glucosidic bonds of substrates like maltooligosaccharides, amylose, and amylopectin. The enzyme releases several maltose molecules from a single enzyme-substrate complex without dissociation by multiple or repetitive attack containing many branching reaction paths. The Monte Carlo method was applied to the simulation of the beta-amylase-catalyzed reaction including the multiple attack mechanism. The simulation starts from a single enzyme molecule and a finite number of substrate molecules. The selection of the substrate by the enzyme and degree of multiple attack proceeds by random numbers produced from a computer. The simulation was carried out until the whole substrate and the intermediate molecules were consumed. The simulated data were compared with experimental data of sweet potato beta-amylase using heptamer, octamer, nanomer, and 11-mer as substrates. The only adjustable parameter for odd-numbered substrates was the probability of multiple attack, while an additional adjustable parameter (a correction factor due to low reactivity of tetramer) was needed for even-numbered substrates.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 10904554     DOI: 10.1002/(sici)1097-0282(199712)42:7<831::aid-bip8>3.0.co;2-u

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


  2 in total

1.  Monte Carlo simulation of hyaluronidase reaction involving hydrolysis, transglycosylation and condensation.

Authors:  Hiroshi Nakatani
Journal:  Biochem J       Date:  2002-08-01       Impact factor: 3.857

Review 2.  Design starch: stochastic modeling of starch granule biogenesis.

Authors:  Adélaïde Raguin; Oliver Ebenhöh
Journal:  Biochem Soc Trans       Date:  2017-07-03       Impact factor: 5.407

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.