Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 348

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Antimicrobial enzymes: An emerging strategy to fight microbes and microbial biofilms

Open access
Thallinger, Barbara, Prasetyo, Endry N., Nyanhongo, Gibson S., Guebitz, Georg M.·2013·Biotechnology Journal

Abstract

With the increasing prevalence of antibiotic resistance, antimicrobial enzymes aimed at the disruption of bacterial cellular machinery and biofilm formation are under intense investigation. Several enzyme‐based products have already been commercialized for application in the healthcare, food and biomedical industries. Successful removal of complex biofilms requires the use of multi‐enzyme formulations that contain enzymes capable of degrading microbial DNA, polysaccharides, proteins and quorum‐sensing molecules. The inclusion of anti‐quorum sensing enzymes prevents biofilm reformation. The development of effective complex enzyme formulations is urgently needed to deal with the problems associated with biofilm formation in manufacturing, environmental protection and healthcare settings. Nevertheless, advances in synthetic biology, enzyme engineering and whole DNA‐Sequencing technologies show great potential to facilitate the development of more effective antimicrobial and anti‐biofilm enzymes.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/biot.201200313

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 348

Metadata

Authors
Thallinger, B., Prasetyo, E. N., Nyanhongo, G. S., & Guebitz, G. M.
Venue
Biotechnology Journal
Publisher
Wiley
Published
2013-01
Volume
8
Issue
1
Pages
97-109
ISSN
  • 1860-6768 (ISSN-L)
  • 1860-7314
OpenAlex
W1966383868
Cited by
348
References
3
FWCI
8.07
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.