The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Combination Effects of Antimicrobial Peptides
Open accessAbstract
Antimicrobial peptides (AMPs) are ancient and conserved across the tree of life. Their efficacy over evolutionary time has been largely attributed to their mechanisms of killing. Yet, the understanding of their pharmacodynamics both in vivo and in vitro is very limited. This is, however, crucial for applications of AMPs as drugs and also informs the understanding of the action of AMPs in natural immune systems. Here, we selected six different AMPs from different organisms to test their individual and combined effects in vitro. We analyzed their pharmacodynamics based on the Hill function and evaluated the interaction of combinations of two and three AMPs. Interactions of AMPs in our study were mostly synergistic, and three-AMP combinations displayed stronger synergism than two-AMP combinations. This suggests synergism to be a common phenomenon in AMP interaction. Additionally, AMPs displayed a sharp increase in killing within a narrow dose range, contrasting with those of antibiotics. We suggest that our results could lead a way toward better evaluation of AMP application in practice and shed some light on the evolutionary consequences of antimicrobial peptide interactions within the immune system of organisms.
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 of multicellular organisms
Zasloff, M. (2002) · Nature · doi:10.1038/415389a · Cited by 8,457
Wiegand, I., Hilpert, K., & Hancock, R. E. W. (2008) · Nature Protocols · doi:10.1038/nprot.2007.521 · Cited by 6,156
Antimicrobial peptides: pore formers or metabolic inhibitors in bacteria?
Brogden, K. A. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1098 · Cited by 5,829
Combination approaches to combat multidrug-resistant bacteria
Worthington, R. J., & Melander, C. (2013) · Trends in Biotechnology · doi:10.1016/j.tibtech.2012.12.006 · Cited by 625
Drug interactions and the evolution of antibiotic resistance
Yeh, P. J., Hegreness, M. J., Aiden, A. P., & Kishony, R. (2009) · Nature Reviews Microbiology · doi:10.1038/nrmicro2133 · Cited by 350
Cited by
The value of antimicrobial peptides in the age of resistance
Magana, M., Pushpanathan, M., Santos, A. L., Leanse, L., Fernandez, M., Ioannidis, A., Giulianotti, M. A., Apidianakis, Y., Bradfute, S., Ferguson, A. L., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30327-3 · Cited by 1,150
Antimicrobial peptides: Application informed by evolution
Lazzaro, B. P., Zasloff, M., & Rolff, J. (2020) · Science · doi:10.1126/science.aau5480 · Cited by 1,069
Self-citationAntimicrobial peptides for combating drug-resistant bacterial infections
Xuan, J., Feng, W., Wang, J., Wang, R., Zhang, B., Bo, L., Chen, Z.-S., Yang, H., & Sun, L. (2023) · Drug Resistance Updates · doi:10.1016/j.drup.2023.100954 · Cited by 665
Antimicrobial Peptides and Their Therapeutic Potential for Bacterial Skin Infections and Wounds
Pfalzgraff, A., Brandenburg, K., & Weindl, G. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.00281 · Cited by 481
Antimicrobial peptides (AMPs): A promising class of antimicrobial compounds
Erdem Büyükkiraz, M., & Kesmen, Z. (2022) · Journal of Applied Microbiology · doi:10.1111/jam.15314 · Cited by 454
Metadata
- Authors
- Yu, G., Baeder, D. Y., Regoes, R. R., & Rolff, J.
- Venue
- Antimicrobial Agents and Chemotherapy
- Publisher
- American Society for Microbiology
- Published
- 2016-03
- Volume
- 60
- Issue
- 3
- Pages
- 1717-1724
- ISSN
- 0066-4804 (ISSN-L)
- 1098-6596
- OpenAlex
- W2279347084
- Cited by
- 220
- References
- 5
- FWCI
- 16.41
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Combination Effects of Antimicrobial Peptides. https://app.cochat.ai/papers/10.1128/aac.02434-15
- The paper
- Yu, G., Baeder, D. Y., Regoes, R. R., & Rolff, J. (2016). Combination Effects of Antimicrobial Peptides. Antimicrobial Agents and Chemotherapy. https://doi.org/10.1128/aac.02434-15
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.