Title
Life -A glimpse into the phenomenon
Authors
Leszek Konieczny1, Irena Roterman2,* & Pawel Spolnik1
Affiliation
1Department of Medical Biochemistry, Jagiellonian University - Medcial College, 31-034 Krakow, Kopernika 7, Poland; 2Department of Bioinformatics and Telemedicine, Jagiellonian University - Medical College, 30-688 Kraków, Medyczna 7, Poland; *Corresponding author
Leszek Konieczny - E-mail: mbkoniec@cyf-kr.edu.pl
Irena Roterman - E-mail: myroterm@cyf-kr.edu.pl
Pawel Spolnik - E-mail: p.spolnik@cm-uj.krakow.pl
Article Type
Editorial
Date
Received March 1, 2026; Revised March 31, 2026; Accepted March 31, 2026, Published March 31, 2026
Abstract
Advancement to knowledge is the possibility to simulate the living system in In Silico technique. Therefore, it is of interest to seek an unambiguous interpretation of life as a phenomenon. To overcome the challenges posed by the complexity of biological information, the scope of this study is narrowed down to the cellular level with cells are categorized into two groups: dividing cells – species life, associated with reproduction and non-dividing cells – individual life. This analysis focuses exclusively on individual life, using the erythrocyte as a model for non-dividing cells where the autonomy as a process dedicated to maintaining the stability of the cell's internal environment is treated as the basis. This capacity to sustain internal conditions is recognized as the primary manifestation of life using an automatic response mechanism to environmental changes, governed by negative feedback loops. Furthermore, self-organization, independent recognition of errors and their remediation are identified as key components of autonomous cellular action, the simulation of which is possible using the incorporated simulation tools to model these selected biological processes
Keywords
Life; surviving; automatism; self-sustaining;
Citation
Konieczny et al. Bioinformation 22(3): 1871-1880 (2026)
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
