Ordinary differential equations and boolean networks in application to modelling of 6-mercaptopurine metabolism

Anastasia I. Lavrova, Eugene B. Postnikov, Andrey Yu Zyubin, Svetlana V. Babak

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
JournalRoyal Society Open Science
Volume4
Issue number4
DOIs
StatePublished - 1 Apr 2017
Externally publishedYes

Scopus subject areas

  • General

Keywords

  • Boolean networks
  • Drug metabolism
  • Kinetic modelling

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