The scientists published the results of their work in the periodical "Computer Research and Modeling". The development was implemented with the support of the Ministry of Science and Higher Education of Russia and Perm Research and Educational Center "Rational Subsoil Use".
According to Maxim Buzmakov, one of the developers, a graduate student of the Department of Applied Physics at Perm Polytech, the synthetic biology makes a great contribution to the development of science. The model of gene regulatory network, so called repressilator, allows reproducing the dynamic processes occurring during gene expression.
The repressilator is called the first gene regulatory network in synthetic biology, artificially constructed in 2000. It is a closed small-sized chain of three genes that do not occur in nature in such a combination and suppress the possibility of producing each other's protein. The functioning of cells is ensured by fluctuations in protein concentrations in the network.
The scientists of Perm Polytech described the dynamic processes in the gene regulatory network and improved its accuracy. The processes of gene expression consist of multi-stage reactions, during which ensembles of complex organic compounds are formed. Because of processes have lagged behind, scientists suggested using a repressilator with a delay. Strong deviations of values in the gene chain and a small number of molecules require taking into account random and uncertain factors.
According to Dmitry Bratsun, supervisor of the developer, head of the department of Applied Physics at Perm Polytech, associate professor, leading researcher and Ph.D. in physics and mathematics, unique is the method of modeling the genetic system. Due to the replacing the processes of transcription and translation of genes with delayed expression, it become possible to simplify the model without losing the dynamic properties of the system. It may be seen the change of the protein concentration in the system over the time. Mr. Bratsun also said that the development will also allow tracking the movement of protein fields in space as a result of the interaction of cells with repressillators.
Scientists could obtain more accurate information about the behavior of the system after that they had created a numerical algorithm and a software package, and also carried out their test calculations.