Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Ordinary differential equations and boolean networks in application to modelling of 6-mercaptopurine metabolism. / Lavrova, Anastasia I.; Postnikov, Eugene B.; Zyubin, Andrey Yu; Babak, Svetlana V.
в: Royal Society Open Science, Том 4, № 4, 01.04.2017.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Ordinary differential equations and boolean networks in application to modelling of 6-mercaptopurine metabolism
AU - Lavrova, Anastasia I.
AU - Postnikov, Eugene B.
AU - Zyubin, Andrey Yu
AU - Babak, Svetlana V.
PY - 2017/4/1
Y1 - 2017/4/1
N2 - We consider two approaches to modelling the cell metabolism of 6-mercaptopurine, one of the important chemotherapy drugs used for treating acute lymphocytic leukaemia: kinetic ordinary differential equations, and Boolean networks supplied with one controlling node, which takes continual values. We analyse their interplay with respect to taking into account ATP concentration as a key parameter of switching between different pathways. It is shown that the Boolean networks, which allow avoiding the complexity of general kinetic modelling, preserve the possibility of reproducing the principal switching mechanism.
AB - We consider two approaches to modelling the cell metabolism of 6-mercaptopurine, one of the important chemotherapy drugs used for treating acute lymphocytic leukaemia: kinetic ordinary differential equations, and Boolean networks supplied with one controlling node, which takes continual values. We analyse their interplay with respect to taking into account ATP concentration as a key parameter of switching between different pathways. It is shown that the Boolean networks, which allow avoiding the complexity of general kinetic modelling, preserve the possibility of reproducing the principal switching mechanism.
KW - Boolean networks
KW - Drug metabolism
KW - Kinetic modelling
UR - http://www.scopus.com/inward/record.url?scp=85017617403&partnerID=8YFLogxK
U2 - 10.1098/rsos.160872
DO - 10.1098/rsos.160872
M3 - Article
AN - SCOPUS:85017617403
VL - 4
JO - Royal Society Open Science
JF - Royal Society Open Science
SN - 2054-5703
IS - 4
ER -
ID: 27612111