Engineering Useful Microbial Species for Pharmaceutical Applications
Sadanov A.K. Baimakhanova B.B. Orasymbet S.E. Ratnikova I.A. Turlybaeva Z.Z. Baimakhanova G.B. Amitova A.A. Omirbekova A.A. Aitkaliyeva G.S. Kossalbayev B.D. Belkozhayev A.M.
March 2025Multidisciplinary Digital Publishing Institute (MDPI)
Microorganisms
2025#13Issue 3
Microbial engineering has made a significant breakthrough in pharmaceutical biotechnology, greatly expanding the production of biologically active compounds, therapeutic proteins, and novel drug candidates. Recent advancements in genetic engineering, synthetic biology, and adaptive evolution have contributed to the optimization of microbial strains for pharmaceutical applications, playing a crucial role in enhancing their productivity and stability. The CRISPR-Cas system is widely utilized as a precise genome modification tool, enabling the enhancement of metabolite biosynthesis and the activation of synthetic biological pathways. Additionally, synthetic biology approaches allow for the targeted design of microorganisms with improved metabolic efficiency and therapeutic potential, thereby accelerating the development of new pharmaceutical products. The integration of artificial intelligence (AI) and machine learning (ML) plays a vital role in further advancing microbial engineering by predicting metabolic network interactions, optimizing bioprocesses, and accelerating the drug discovery process. However, challenges such as the efficient optimization of metabolic pathways, ensuring sustainable industrial-scale production, and meeting international regulatory requirements remain critical barriers in the field. Furthermore, to mitigate potential risks, it is essential to develop stringent biocontainment strategies and implement appropriate regulatory oversight. This review comprehensively examines recent innovations in microbial engineering, analyzing key technological advancements, regulatory challenges, and future development perspectives.
artificial intelligence , biopharmaceuticals , machine learning , microbial engineering , synthetic biology
Text of the article Перейти на текст статьи
LLP “Research and Production Center for Microbiology and Virology”, Almaty, 050010, Kazakhstan
Department of Chemical and Biochemical Engineering, Geology and Oil-Gas Business Institute Named After K. Turyssov, Satbayev University, Almaty, 050043, Kazakhstan
Faculty of Biology and Biotechnology, Al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan
Ecology Research Institute, Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, 161200, Kazakhstan
LLP “Research and Production Center for Microbiology and Virology”
Department of Chemical and Biochemical Engineering
Faculty of Biology and Biotechnology
Ecology Research Institute
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026