The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Synthetic Mimic of Antimicrobial Peptide with Nonmembrane-Disrupting Antibacterial Properties
Open accessAbstract
Polyguanidinium oxanorbornene ( PGON) was synthesized from norbornene monomers via ring-opening metathesis polymerization. This polymer was observed to be strongly antibacterial against Gram-negative and Gram-positive bacteria as well as nonhemolytic against human red blood cells. Time-kill studies indicated that this polymer is lethal and not just bacteriostatic. In sharp contrast to previously reported SMAMPs (synthetic mimics of antimicrobial peptides), PGON did not disrupt membranes in vesicle-dye leakage assays and microscopy experiments. The unique biological properties of PGON, in same ways similar to cell-penetrating peptides, strongly encourage the examination of other novel guanidino containing macromolecules as powerful and selective antimicrobial agents.
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.
Integrity signals
Registry
Cites
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.
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
Antimicrobial peptides: pore formers or metabolic inhibitors in bacteria?
Brogden, K. A. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1098 · Cited by 5,829
Cited by
Polymeric materials with antimicrobial activity
Muñoz-Bonilla, A., & Fernández-García, M. (2012) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2011.08.005 · Cited by 1,221
Baruah, B., Gabriel, G. J., Akbashev, M. J., & Booher, M. E. (2013) · Langmuir · doi:10.1021/la305068p · Cited by 391
Self-citationChin, W., Zhong, G., Pu, Q., Yang, C., Lou, W., De Sessions, P. F., Periaswamy, B., Lee, A., Liang, Z. C., Ding, X., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03325-6 · Cited by 331
Cationic polymers and their self-assembly for antibacterial applications
Deka, S., Sharma, A., & Kumar, P. (2015) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026615666150330110602 · Cited by 82
King, A., Chakrabarty, S., Zhang, W., Zeng, X., Ohman, D. E., Wood, L. F., Abraham, S., Rao, R., & Wynne, K. J. (2014) · Biomacromolecules · doi:10.1021/bm401794p · Cited by 72
Metadata
- Authors
- Gabriel, G. J., Madkour, A. E., Dabkowski, J. M., Nelson, C. F., Nüsslein, K., & Tew, G. N.
- Venue
- Biomacromolecules
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-10-14
- Volume
- 9
- Issue
- 11
- Pages
- 2980-2983
- ISSN
- 1525-7797 (ISSN-L)
- 1526-4602
- OpenAlex
- W1991830829
- Cited by
- 222
- References
- 1
- FWCI
- 4.62
- Type
- journal article
- Language
- en
- Open access
- hybrid
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.
