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Most bacteriophages encode two types of cell wall lytic proteins: endolysins (lysins) and virion-associated peptidoglycan hydrolases. Both enzymes have the ability to degrade the peptidoglycan of Gram-positive bacteria resulting in cell lysis when they are applied externally. Bacteriophage lytic proteins have a demonstrated potential in treating animal models of infectious diseases. There has also been an increase in the study of these lytic proteins for their application in areas such as food safety, pathogen detection/diagnosis, surfaces disinfection, vaccine development and nanotechnology. This review summarizes the more recent developments, outlines the full potential of these proteins to develop new biotechnological tools and discusses the feasibility of these proposals.
Vaccines, Food Safety, Virion-associated peptidoglycan hydrolases, Endolysins, Pathogen detection, N-Acetylmuramoyl-L-alanine Amidase, End hunger, achieve food security and improved nutrition and promote sustainable agriculture, Food safety, Disinfection, Viral Proteins, Anti-Infective Agents, http://metadata.un.org/sdg/2, Endopeptidases, Nanotechnology, Bacteriophages, Biotechnology
Vaccines, Food Safety, Virion-associated peptidoglycan hydrolases, Endolysins, Pathogen detection, N-Acetylmuramoyl-L-alanine Amidase, End hunger, achieve food security and improved nutrition and promote sustainable agriculture, Food safety, Disinfection, Viral Proteins, Anti-Infective Agents, http://metadata.un.org/sdg/2, Endopeptidases, Nanotechnology, Bacteriophages, Biotechnology
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 69 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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