The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
The value of antimicrobial peptides in the age of resistance
Abstract
Accelerating growth and global expansion of antimicrobial resistance has deepened the need for discovery of novel antimicrobial agents. Antimicrobial peptides have clear advantages over conventional antibiotics which include slower emergence of resistance, broad-spectrum antibiofilm activity, and the ability to favourably modulate the host immune response. Broad bacterial susceptibility to antimicrobial peptides offers an additional tool to expand knowledge about the evolution of antimicrobial resistance. Structural and functional limitations, combined with a stricter regulatory environment, have hampered the clinical translation of antimicrobial peptides as potential therapeutic agents. Existing computational and experimental tools attempt to ease the preclinical and clinical development of antimicrobial peptides as novel therapeutics. This Review identifies the benefits, challenges, and opportunities of using antimicrobial peptides against multidrug-resistant pathogens, highlights advances in the deployment of novel promising antimicrobial peptides, and underlines the needs and priorities in designing focused development strategies taking into account the most advanced tools available.
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
Tacconelli, E., Carrara, E., Savoldi, A., Harbarth, S., Mendelson, M., Monnet, D. L., Pulcini, C., Kahlmeter, G., Kluytmans, J., Carmeli, Y., et al. (2018) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(17)30753-3 · Cited by 6,142
Bioactive Microbial Metabolites: A Personal View
Bérdy, J. (2005) · The Journal of Antibiotics · doi:10.1038/ja.2005.1 · Cited by 3,170
Persister cells, dormancy and infectious disease
Lewis, K. (2007) · Nature Reviews Microbiology · doi:10.1038/nrmicro1557 · Cited by 2,052
Lewis, K. (2010) · Annual Review of Microbiology · doi:10.1146/annurev.micro.112408.134306 · Cited by 1,858
Vaishnava, S., Behrendt, C. L., Ismail, A. S., Eckmann, L., & Hooper, L. V. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808723105 · Cited by 1,019
Human commensals producing a novel antibiotic impair pathogen colonization
Zipperer, A., Konnerth, M. C., Laux, C., Berscheid, A., Janek, D., Weidenmaier, C., Burian, M., Schilling, N. A., Slavetinsky, C., Marschal, M., et al. (2016) · Nature · doi:10.1038/nature18634 · Cited by 938
ATP-Dependent Persister Formation in Escherichia coli
Shan, Y., Brown Gandt, A., Rowe, S. E., Deisinger, J. P., Conlon, B. P., & Lewis, K. (2017) · mBio · doi:10.1128/mbio.02267-16 · Cited by 508
Cited by
Antimicrobial peptides: Structure, mechanism, and modification
Chen, N., & Jiang, C. (2023) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2023.115377 · Cited by 279
Discovering highly potent antimicrobial peptides with deep generative model HydrAMP
Szymczak, P., Możejko, M., Grzegorzek, T., Jurczak, R., Bauer, M., Neubauer, D., Sikora, K., Michalski, M., Sroka, J., Setny, P., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36994-z · Cited by 231
Accelerating antibiotic discovery through artificial intelligence
Melo, M. C. R., Maasch, J. R. M. A., & de la Fuente-Nunez, C. (2021) · Communications Biology · doi:10.1038/s42003-021-02586-0 · Cited by 234
Self-citationLima, P. G., Oliveira, J. T. A., Amaral, J. L., Freitas, C. D. T., & Souza, P. F. N. (2021) · Life Sciences · doi:10.1016/j.lfs.2021.119647 · Cited by 170
Fusobacterium nucleatum: the opportunistic pathogen of periodontal and peri-implant diseases
Chen, Y., Shi, T., Li, Y., Huang, L., & Yin, D. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.860149 · Cited by 75
Metadata
- Authors
- Magana, M., Pushpanathan, M., Santos, A. L., Leanse, L., Fernandez, M., Ioannidis, A., Giulianotti, M. A., Apidianakis, Y., Bradfute, S., Ferguson, A. L., Cherkasov, A., Seleem, M. N., Pinilla, C., de la Fuente-Nunez, C., Lazaridis, T., Dai, T., Houghten, R. A., Hancock, R. E. W., & Tegos, G. P.
- Venue
- The Lancet Infectious Diseases
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 20
- Issue
- 9
- Pages
- e216-e230
- ISSN
- 1473-3099 (ISSN-L)
- OpenAlex
- W3040996852
- Cited by
- 1,150
- References
- 7
- FWCI
- 76.86
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The value of antimicrobial peptides in the age of resistance. https://app.cochat.ai/papers/10.1016/s1473-3099(20)30327-3
- The paper
- Magana, M., Pushpanathan, M., Santos, A. L., Leanse, L., Fernandez, M., Ioannidis, A., Giulianotti, M. A., Apidianakis, Y., Bradfute, S., Ferguson, A. L., Cherkasov, A., Seleem, M. N., Pinilla, C., de la Fuente-Nunez, C., Lazaridis, T., Dai, T., Houghten, R. A., Hancock, R. E. W., & Tegos, G. P. (2020). The value of antimicrobial peptides in the age of resistance. The Lancet Infectious Diseases. https://doi.org/10.1016/s1473-3099(20)30327-3
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.
