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Cited by 438

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

Bacteriophage endolysins: A novel anti-infective to control Gram-positive pathogens

Open access
Fischetti, Vincent A.·2010·International Journal of Medical Microbiology

Abstract

Endolysins (or lysins) are highly evolved enzymes produced by bacteriophage (phage for short) to digest the bacterial cell wall for phage progeny release. In Gram-positive bacteria, small quantities of purified recombinant lysin added externally results in immediate lysis causing log-fold death of the target bacterium. Lysins have been used successfully in a variety of animal models to control pathogenic antibiotic-resistant bacteria found on mucosal surfaces and infected tissues. Their specificity for the pathogen without disturbing the normal flora, the low chance of bacterial resistance, and their ability to kill colonizing pathogens on mucosal surfaces, a capacity previously unavailable, make them ideal anti-infectives in an age of mounting resistance. Here we review the current literature showing the effectiveness of these enzymes in controlling a variety of infections.

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Metadata

Authors
Fischetti, V. A.
Venue
International Journal of Medical Microbiology
Publisher
Elsevier BV
Published
2010-08
Volume
300
Issue
6
Pages
357-362
ISSN
1438-4221 (ISSN-L)
OpenAlex
W2100402024
Cited by
438
References
54
FWCI
25.19
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Bacteriophage endolysins: A novel anti-infective to control Gram-positive pathogens. https://app.cochat.ai/papers/10.1016/j.ijmm.2010.04.002
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Fischetti, V. A. (2010). Bacteriophage endolysins: A novel anti-infective to control Gram-positive pathogens. International Journal of Medical Microbiology. https://doi.org/10.1016/j.ijmm.2010.04.002

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.