The Group of Molecular Genetic Systems Modeling is a scientific team of the Institute of Cytology and Genetics of the RAS actively involved in computer modeling and development of specialized software applications.
The Group's members have developed an original generalized chemical-kinetic method and generalized Hill function approach for modeling of molecular genetic systems (MGS). On the basis of these methods the Group has developed and is still improving an original specification standard for models annotation, SiBML, which allows MGS constructors to be built for running in silico genetic engineering experiments.
To be able to cope with the computational requirements of mathematical model analysis, the Group actively cooperates with leading experts of the Institute of Mathematics of the RAS. This cooperation resulted in the development of the STEP+ tool. The functionality of STEP+ provides for the comprehensive analysis of autonomous systems of equations, their stationary solutions as well as stability analysis of the stationary solutions depending on the parameters and analysis of non-linear general systems.
The Group members have experience in the modeling of molecular-genetic processes involved in the regulation of E. coli metabolism, Tat-Rev mediated regulation of HIV-1 replication, hepatitis C virus replicon life cycle, induction and antiviral activity of interferon, the genetic system of cholesterol homeostasis in the cell and other genetic systems.
The Group has been studying the regulatory processes of meristem development in plants since 2005 year. The model of auxin distribution in the root was developed and used for exploring the role of auxin in stem cell maintenance in the root apex and lateral root initiation. Furthermore, a mathematical model of the spatial development of the shoot meristem during embryogenesis in terms of a cellular automaton was developed.
The Group of Molecular Genetic Systems Modeling is open for interaction and collaboration in systems biology projects dedicated to the structural organization and dynamics of the MGS functioning.