Accepted_test

Modular modeling of human skeletal muscle adaptation to different types of physical exercise considering molecular genetic interactions between metabolism and gene expression regulation
by Melikhova E.V. | Vertyshev A.Yu. | Kolpakov F.A. | Akberdin I.R. | Department of Computational Biology, Scientific Center for Genetics and Life Sciences, Sirius University of Science and Technology, Sirius, Russia | JSC “Sites-Tsentr”, Moscow, Russia | Department of Computational Biology, Scientific Center for Genetics and Life Sciences, Sirius University of Science and Technology, Sirius, Russia | Department of Computational Biology, Scientific Center for Genetics and Life Sciences, Sirius University of Science and Technology, Sirius, Russia
Abstract ID: 522
Event: BGRS-abstracts
Sections: [Sym 2] Section “Reconstruction computational analysis and modeling of gene networks and metabolic pathways”

It is known that physical activity plays an important role in the development and maintenance of a functionally healthy state not only of individual organs, but also of the entire human body. Achievement of the best outcomes in the training process is feasible with a deep insight of not only physiological, but also molecular-genetic mechanisms underlying the body's response to physical exertion. As a result of the study, a modular model describing the adaptation of skeletal muscle to different types of physical exercise was expanded by considering processes both regulating expression of genes encoding enzymes and protein synthesis. The extension of the transcription factor module, along with the addition of the transcription and translation modules for central metabolism’s enzymes facilitates more precise and detailed description of the molecular mechanisms of human skeletal muscle adaptation to various types of physical stress.