The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A New Era of Antibiotics: The Clinical Potential of Antimicrobial Peptides
Open accessAbstract
Antimicrobial resistance is a multifaceted crisis, imposing a serious threat to global health. The traditional antibiotic pipeline has been exhausted, prompting research into alternate antimicrobial strategies. Inspired by nature, antimicrobial peptides are rapidly gaining attention for their clinical potential as they present distinct advantages over traditional antibiotics. Antimicrobial peptides are found in all forms of life and demonstrate a pivotal role in the innate immune system. Many antimicrobial peptides are evolutionarily conserved, with limited propensity for resistance. Additionally, chemical modifications to the peptide backbone can be used to improve biological activity and stability and reduce toxicity. This review details the therapeutic potential of peptide-based antimicrobials, as well as the challenges needed to overcome in order for clinical translation. We explore the proposed mechanisms of activity, design of synthetic biomimics, and how this novel class of antimicrobial compound may address the need for effective antibiotics. Finally, we discuss commercially available peptide-based antimicrobials and antimicrobial peptides in clinical trials.
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Citations
Cites
Antimicrobial peptides of multicellular organisms
Zasloff, M. (2002) · Nature · doi:10.1038/415389a · Cited by 8,457
Mechanisms of Antibiotic Resistance
Munita, J. M., & Arias, C. A. (2016) · Microbiology Spectrum · doi:10.1128/microbiolspec.vmbf-0016-2015 · Cited by 2,782
Can Animal Models of Disease Reliably Inform Human Studies?
van der Worp, H. B., Howells, D. W., Sena, E. S., Porritt, M. J., Rewell, S., O'Collins, V., & Macleod, M. R. (2010) · PLoS Medicine · doi:10.1371/journal.pmed.1000245 · Cited by 1,354
Cited by
Antimicrobial peptides for bone tissue engineering: Diversity, effects and applications
Hao, Z., Chen, R., Chai, C., Wang, Y., Chen, T., Li, H., Hu, Y., Feng, Q., & Li, J. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.1030162 · Cited by 47
Self-citationBolatchiev, A., Baturin, V., Shchetinin, E., & Bolatchieva, E. (2022) · Antibiotics · doi:10.3390/antibiotics11030411 · Cited by 26
Azadi, S., Yazdanpanah, M. A., Afshari, A., Alahdad, N., Chegeni, S., Angaji, A., Rezayat, S. M., & Tavakol, S. (2024) · Journal of Tissue Engineering · doi:10.1177/20417314241303818 · Cited by 24
Semantic search using protein large language models detects class II microcins in bacterial genomes
Kulikova, A. V., Parker, J. K., Davies, B. W., & Wilke, C. O. (2024) · mSystems · doi:10.1128/msystems.01044-24 · Cited by 10
Antimicrobial Activity of Cathelicidin-Derived Peptide from the Iberian Mole Talpa occidentalis
Otazo-Pérez, A., Asensio-Calavia, P., González-Acosta, S., Baca-González, V., López, M. R., Morales-delaNuez, A., & Pérez de la Lastra, J. M. (2022) · Vaccines · doi:10.3390/vaccines10071105 · Cited by 9
Metadata
- Authors
- Browne, K., Chakraborty, S., Chen, R., Willcox, M. D., Black, D. S., Walsh, W. R., & Kumar, N.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2020-09-24
- Volume
- 21
- Issue
- 19
- Pages
- 7047
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W3088313863
- Cited by
- 482
- References
- 3
- FWCI
- 34.51
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
