Obálka

In Silico Modeling of Metabolic Pathways in Probiotic Microorganisms for Functional Food Biotechnology

Uloženo v:
Vydáno v:Fermentation vol. 11, no. 8 (2025), p. 458-484
Hlavní autor: Baimakhanova, Baiken B
Další autoři: Sadanov, Amankeldi K, Ratnikova, Irina A, Baimakhanova, Gul B, Orasymbet, Saltanat E, Amitova, Aigul A, Aitkaliyeva, Gulzat S, Kakimova, Ardak B
Vydáno:
MDPI AG
Témata:
Physiology
Fermentation
Functional foods & nutraceuticals
Pathogens
Probiotics
Metabolic pathways
Microbiota
Disease
Biotechnology
Immune response
Linear programming
Genomes
Computer applications
Metabolism
Enzymes
Microorganisms
Strains (organisms)
Metabolites
Microbiomes
On-line přístup:Citation/Abstract
Full Text + Graphics
Full Text - PDF
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstrakt:Recent advances in computational biology have provided powerful tools for analyzing, modeling, and optimizing probiotic microorganisms, thereby supporting their development as promising agents for improving human health. The essential role of the microbiota in regulating physiological processes and preventing disease has driven interest in the rational design of next-generation probiotics. This review highlights progress in in silico approaches for enhancing the functionality of probiotic strains. Particular attention is given to genome-scale metabolic models, advanced simulation algorithms, and AI-driven tools that provide deeper insight into microbial metabolism and enable precise probiotic optimization. The integration of these methods with multi-omics data has greatly improved our ability to predict strain behavior and design probiotics with specific health benefits. Special focus is placed on modeling probiotic–prebiotic interactions and host–microbiome dynamics, which are essential for the development of functional food products. Despite these achievements, key challenges remain, including limited model accuracy, difficulties in simulating complex host–microbe systems, and the absence of unified standards for validating in silico-optimized strains. Addressing these gaps requires the development of integrative modeling platforms and clear regulatory frameworks. This review provides a critical overview of current advances, identifies existing barriers, and outlines future directions for the application of computational strategies in probiotic research.
ISSN:2311-5637
DOI:10.3390/fermentation11080458
Zdroj:Biological Science Database