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Cited by 1,523

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Strategies for combating bacterial biofilms: A focus on anti-biofilm agents and their mechanisms of action

Open access
Roy, Ranita, Tiwari, Monalisa, Donelli, Gianfranco, Tiwari, Vishvanath·2018·Virulence

Abstract

) values available in the literature so far. Different mode of action of anti biofilm molecules addressed here are inhibition via interference in the quorum sensing pathways, adhesion mechanism, disruption of extracellular DNA, protein, lipopolysaccharides, exopolysaccharides and secondary messengers involved in various signaling pathways. From this study, we conclude that the molecules considered here might be used to treat biofilm-associated infections after significant structural modifications, thereby investigating its effective delivery in the host. It should also be ensured that minimum effective concentration of these molecules must be capable of eradicating biofilm infections with maximum potency without posing any adverse side effects on the host.

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Crossref · 10.1080/21505594.2017.1313372

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Metadata

Authors
Roy, R., Tiwari, M., Donelli, G., & Tiwari, V.
Venue
Virulence
Published
2018-02-27
Volume
9
Issue
1
Pages
522-554
ISSN
  • 2150-5594 (ISSN-L)
  • 2150-5608
OpenAlex
W2600121819
Cited by
1,523
References
10
FWCI
26.21
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Strategies for combating bacterial biofilms: A focus on anti-biofilm agents and their mechanisms of action. https://app.cochat.ai/papers/10.1080/21505594.2017.1313372
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Roy, R., Tiwari, M., Donelli, G., & Tiwari, V. (2018). Strategies for combating bacterial biofilms: A focus on anti-biofilm agents and their mechanisms of action. Virulence. https://doi.org/10.1080/21505594.2017.1313372

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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.