Simulation of proteasomal protein degradation by the Monte Carlo method

Verfasser / Beitragende:
[V. S. Antyufeev, S. V. Nikolaev]
Ort, Verlag, Jahr:
2004
Enthalten in:
Russian Journal of Numerical Analysis and Mathematical Modelling, 19/5(2004-10-01), 387-406
Format:
Artikel (online)
ID: 378939939
LEADER caa a22 4500
001 378939939
003 CHVBK
005 20180305123649.0
007 cr unu---uuuuu
008 161128e20041001xx s 000 0 eng
024 7 0 |a 10.1515/1569398042395998  |2 doi 
035 |a (NATIONALLICENCE)gruyter-10.1515/1569398042395998 
245 0 0 |a Simulation of proteasomal protein degradation by the Monte Carlo method  |h [Elektronische Daten]  |c [V. S. Antyufeev, S. V. Nikolaev] 
520 3 |a The proteasomal proteolysis is assumed to be the main pathway of protein degradation in a cell. The studies of the proteasome structure and experiments in the proteasomal proteolysis of proteins in vitro raised questions regarding details of this process. We can attempt to elucidate them by computer simulation. We propose the model of the proteasomal proteolysis process of proteins in vitro and carry out computer experiments with it. We develop an algorithm for the direct simulation of the process by the model proposed. The mathematical results obtained allow us to appreciably reduce the computing time of the direct simulation. The form of the distribution curve of the lengths of protein segments, which was obtained in the calculations, coincides with that of the experimental curve. The explanation for the form of the curve corroborates the model chosen. 
540 |a Copyright 2004, Walter de Gruyter 
700 1 |a Antyufeev  |D V. S.  |u Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of theRussian Academy of Sciences, Novosibirsk 630090, Russia  |4 aut 
700 1 |a Nikolaev  |D S. V.  |u Institute of Cytology and Genetics, Novosibirsk 630090, Russia  |4 aut 
773 0 |t Russian Journal of Numerical Analysis and Mathematical Modelling  |d Walter de Gruyter  |g 19/5(2004-10-01), 387-406  |x 0927-6467  |q 19:5<387  |1 2004  |2 19  |o rnam 
856 4 0 |u https://doi.org/10.1515/1569398042395998  |q text/html  |z Onlinezugriff via DOI 
908 |D 1  |a research article  |2 jats 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1515/1569398042395998  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Antyufeev  |D V. S.  |u Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of theRussian Academy of Sciences, Novosibirsk 630090, Russia  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Nikolaev  |D S. V.  |u Institute of Cytology and Genetics, Novosibirsk 630090, Russia  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Russian Journal of Numerical Analysis and Mathematical Modelling  |d Walter de Gruyter  |g 19/5(2004-10-01), 387-406  |x 0927-6467  |q 19:5<387  |1 2004  |2 19  |o rnam 
900 7 |b CC0  |u http://creativecommons.org/publicdomain/zero/1.0  |2 nationallicence 
898 |a BK010053  |b XK010053  |c XK010000 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-gruyter