• O. P. Mintser National Medical Academy of Postgraduate Education
  • V. M. Zalisky National Scientific Center «M. D. Strazhesko Institute of Cardiology» NAMS of Ukraine


Background. System biology allows the use of mathematical models to analyze large data sets and helps to simulate the dynamics of complex biological systems. The analytical study discusses the use of the system approach to promote the development of personalized medicine in the treatment of metabolic diseases, insulin resistance, obesity, non-alcoholic fatty liver disease, non-alcoholic steatohepatitis and malignant neoplasms.

Results. The purpose of the study: evaluate the effectiveness of using system biology and system medicine, as well as propose new approaches.

The results of the integral analysis of large data sets for the identification of new biomarker molecules, which are the main personalized therapies, are considered. It is shown that quantitative system analysis can give a new understanding of the molecular mechanisms in the cell, form new concepts for the organization, coordination and regulation of cellular processes. It is extremely necessary to converge experimental and in silico analysis, both individual cellular processes and technological networks.

Conclusions. System-biological and system-medical analyzes require the wide application of multidisciplinary and transdisciplinary approaches, as was demonstrated by the example of sequencing of whole genomes. It is proposed to use a multistage mathematical modeling system in in silico format with an estimation of the probability of each of the key events ensuring the performance of a cascade of biochemical reactions.


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