Dynamics of granzyme B-induced apoptosis: Mathematical modeling

Evdokia N. Golovchenko, Leonid G. Hanin, Scott H. Kaufmann, Kirill V. Tyurin, Mikhail A. Khanin

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Apoptosis is mediated by an intracellular biochemical system that mainly includes proteins (procaspases, caspases, inhibitors, Bcl-2 protein family as well as substances released from mitochondrial intermembrane space). The dynamics of caspase activation and target cleavage in apoptosis induced by granzyme B in a single K562 cell was studied using a mathematical model of the dynamics of granzyme B-induced apoptosis developed in this work. Also the first application of optimization approach to determination of unknown kinetic constants of biochemical apoptotic reactions was presented. The optimization approach involves solving of two problems: direct and inverse. Solving the direct optimization problem, we obtain the initial (baseline) concentrations of procaspases for known kinetic constants through conditional minimization of a cost function based on the principle of minimum protein consumption by the apoptosis system. The inverse optimization problem is aimed at determination of unknown kinetic constants of apoptotic biochemical reactions proceeding from the condition that the optimal concentrations of procaspases resulting from the solution of the direct optimization problem coincide with the observed ones, that is, those determined by biochemical methods. The Multidimensional Index Method was used to perform numerical solution of the inverse optimization problem.

Original languageEnglish (US)
Pages (from-to)54-68
Number of pages15
JournalMathematical Biosciences
Volume212
Issue number1
DOIs
StatePublished - Mar 1 2008

Keywords

  • Apoptosis
  • Caspase activation
  • Granzyme B
  • Mathematical modeling

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

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