DOI 10.2174/0113894501460061260513102822
Microbial Proteases: Pioneering Tools for Modern Therapeutic Innovations.
Аннотация
INTRODUCTION
Proteases are enzymes that play important physiological roles in both production and breakdown. They also play a variety of roles in physiology, biochemistry, and cell regulation. Furthermore, proteases have various uses in the chemical and pharmaceutical industries. Microbial proteases offer many advantages over animal and plant sources, including their wide substrate specificity, fast growth, and ease of genetic manipulation.
METHODS
This review explores the benefits of using microbial proteases. The literature search was conducted across electronic bibliographic databases, including PubMed, MEDLINE, Scopus, and Google Scholar, to find pertinent scientific publications on the therapeutic uses of microbial proteases.
RESULTS
Microbial proteases are the largest group of industrial enzymes. This review examines their wide range and organizes them according to their catalytic mechanisms and active sites. It highlights their physiological uses in dietary protein digestion, blood coagulation, and cell division. The study also highlights potential therapeutic uses, including biofilm degradation, anti-inflammatory effects, digestive assistance, wound healing, and fibrinolytic proteases. It also discusses its use in treating medical disorders like liver fibrosis and Alzheimer's disease.
DISCUSSION: The investigation of microbial proteases as promising new-generation therapeutic agents highlights their exceptional potential for tackling medical issues. Their adaptable catalytic capabilities and environmental friendliness make them attractive as therapeutic agents.
CONCLUSION
Microbial proteases are incredibly versatile, exhibiting unique features and functioning in harsh conditions, which creates opportunities for novel uses in treatments and improve biomarkers detection. This review highlights their growing importance in the creation of innovative therapeutic approaches and improve biomarkers detection.
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