USING METABOLIC MODELS TO PREDICT DRUG EFFICACY: APPLICATIONS IN BIOMEDICINE
Authors:
1.
Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation
Russian Federation
2.
Voronezh State University of Forestry and Technologies named after G.F. Morozov
(Departtment of Computer Science and Information Systems, assistant professor)
Voronezh, Voronezh, Russian Federation
Voronezh, Voronezh, Russian Federation
Type:
Сonference article
Published:
14.04.2025
Subject area:
004.9
Language:
Russian
Keywords:
metabolic models, modeling, pharmaceuticals, biomedicine, flux balance analysis, personalized medicine
Abstract (English):
The article discusses the use of metabolic models to predict the efficacy of pharmaceuticals. Metabolic models help to understand how drugs affect metabolic pathways in cells, which is crucial for developing new therapies and optimizing existing ones. The focus is on methods for modeling metabolic networks, such as flux balance analysis and constrained models. Examples are provided of how these methods are applied to evaluate therapeutic effects and potential side effects of medications.
The article discusses the use of metabolic models to predict the efficacy of pharmaceuticals. Metabolic models help to understand how drugs affect metabolic pathways in cells, which is crucial for developing new therapies and optimizing existing ones. The focus is on methods for modeling metabolic networks, such as flux balance analysis and constrained models. Examples are provided of how these methods are applied to evaluate therapeutic effects and potential side effects of medications.
Keywords:
metabolic models, modeling, pharmaceuticals, biomedicine, flux balance analysis, personalized medicine
metabolic models, modeling, pharmaceuticals, biomedicine, flux balance analysis, personalized medicine
1. Ryabov, V. V. Metabolomika i metabolicheskie modeli: Principy i metody. — M.: Nauka, 2020. — 384 s.
2. Shih, V. A. Modelirovanie biologicheskih sistem: Metody i prilozheniya. — SPb.: BHV-Peterburg, 2019. — 296 s.
3. Ivanov, A. V. Farmakologicheskoe modelirovanie: Teoriya i praktika. — M.: Fizmatlit, 2021. — 312 s.
4. Kuznecova, N. V. Metabolicheskie seti: Analiz i modelirovanie. — M.: Medicina, 2018. — 280 s.
5. Voroncov, V. N. Sistemnaya biologiya i ee primeneniya v medicinskih naukah. — SPb.: Nauka, 2022. — 260 s.
