Accepted_test

The emergence and evolution of living systems compensating for entropy processes
by Alexander Ratushniak | Federal Research Center for Information and Computing Technologies
Abstract ID: 327
Event: BGRS-abstracts
Sections: [Sym 2] Section “Computational analysis and modeling of population, ecological and genetic systems and processes”

To advance work in the field of bioneuroinformatics, to develop methods and approaches to the prevention, diagnosis and correction of neuro-induced pathologies, it is necessary to understand the basic physical functions of living systems. This requires ideas about the physical essence and mechanisms of the emergence and evolution of negentropic molecular complexes. The work is devoted, first of all, to the analysis of existing methods, the search for approaches to modeling the emergence, evolution, and creation of models of primary protobiological molecular complexes (protobionts). Analysis of the fundamental principles of life (behavior) is possible only on the basis of modeling the simplest living system. In this work, we tried to create a model of the simplest molecular structures (agents - negentropic molecular complexes), corresponding to the concept of living systems as devices with active stability in the environment. Functioning algorithms and program codes for models of negentropy bioagents have been developed.