Issue 2 (188), article 4

DOI:https://doi.org/10.15407/kvt188.02.065

Kibern. vyčisl. teh., 2017, Issue 2 (188), pp.

Grygoryan R.D., Dr (in biology),
Chief of Department of human systems modeling and reliability
e-mail: rgrygoryan@gmail.com
Aksenova T.V., Junior-researcher
e-mail: akstanya@ukr.net
Degoda A.G., Senior-researcher, PhD (in math.)
e-mail: mag-87@inbox.ru
Institute of software systems of National Аcademy of Sciences of Ukraine,
40, Acad.Glushkov ave., corp.5, Kiev, 052187, Ukraine

A COMPUTER SIMULATOR OF MECHANISMS PROVIDING ENERGY BALANCE IN HUMAN CELLS

Introduction. Human organism is a too complex system to be empirically examined and comprehended: there is no method for simultaneously measuring or integrally analyzing of billions of multi-scale life variables. Experts need models and information technologies that causally incorporate cell-scale and organism-scale biophysical and physiological data.

The purpose of the article is to describe a specialized simulator (SS) providing users of additional information concerning scenarios and multi-level mechanisms of energy optimization in the human organism.

Results. Multi-scale mechanisms providing cell energy balance (CEB) are in the basis of SS. At cell-level, providers of CEB form a battery of autonomous mechanisms (BAM). Under energy lack (EL), BAM increases the rate of ATP synthesis using local opportunities. If EL remains, extracellular providers of aerobic synthesis of ATP enlarge current potentials of the EL-cell. The SS provides simulation scenarios increasing the lung ventilation, the erythropoiesis, blood concentrations of carbohydrates, and of other nutrients for biogenesis of mitochondria. The role of the cardiovascular system is in regulating of blood incomes to EL-cells.

Conclusion. The SS is a novel informational technology of dual goals. Explaining the function of mechanisms-providers of CEB, the SS also can be used by applied physiologists and physicians for the planning of optimal scenarios for physical empowering of healthy people.

Keywords: mathematical models, mitochondria, glucose, integrative physiology, medicine.

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Recieved 15.03.2017