The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
LAMP: A Database Linking Antimicrobial Peptides
Open accessAbstract
The frequent emergence of drug-resistant bacteria has created an urgent demand for new antimicrobial agents. Traditional methods of novel antibiotic development are almost obsolete. Antimicrobial peptides (AMPs) are now regarded as a potential solution to revive the traditional methods of antibiotic development, although, until now, many AMPs have failed in clinical trials. A comprehensive database of AMPs with information about their antimicrobial activity and cytotoxicity will help promote the process of finding novel AMPs with improved antimicrobial activity and reduced cytotoxicity and eventually accelerate the speed of translating the discovery of new AMPs into clinical or preclinical trials. LAMP, a database linking AMPs, serves as a tool to aid the discovery and design of AMPs as new antimicrobial agents. The current version of LAMP has 5,547 entries, comprising 3,904 natural AMPs and 1,643 synthetic peptides. The database can be queried using either simply keywords or combinatorial conditions searches. Equipped with the detailed antimicrobial activity and cytotoxicity data, the cross-linking and top similar AMPs functions implemented in LAMP will help enhance our current understanding of AMPs and this may speed up the development of new AMPs for medical applications. LAMP is freely available at: http://biotechlab.fudan.edu.cn/database/lamp.
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
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
APD3: the antimicrobial peptide database as a tool for research and education
Wang, G., Li, X., & Wang, Z. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1278 · Cited by 2,388
Intracellular Delivery by Membrane Disruption: Mechanisms, Strategies, and Concepts
Stewart, M. P., Langer, R., & Jensen, K. F. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00678 · Cited by 747
CAMP R3 : a database on sequences, structures and signatures of antimicrobial peptides: Table 1.
Waghu, F. H., Barai, R. S., Gurung, P., & Idicula-Thomas, S. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1051 · Cited by 715
Identification of antimicrobial peptides from the human gut microbiome using deep learning
Ma, Y., Guo, Z., Xia, B., Zhang, Y., Liu, X., Yu, Y., Tang, N., Tong, X., Wang, M., Ye, X., et al. (2022) · Nature Biotechnology · doi:10.1038/s41587-022-01226-0 · Cited by 490
Sustainable aquaculture requires environmental‐friendly treatment strategies for fish diseases
Lieke, T., Meinelt, T., Hoseinifar, S. H., Pan, B., Straus, D. L., & Steinberg, C. E. W. (2020) · Reviews in Aquaculture · doi:10.1111/raq.12365 · Cited by 363
Metadata
- Authors
- Zhao, X., Wu, H., Lu, H., Li, G., & Huang, Q.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-06-18
- Volume
- 8
- Issue
- 6
- Pages
- e66557
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2015490529
- Cited by
- 346
- References
- 2
- FWCI
- 16.15
- Type
- journal article
- Language
- en
- Open access
- gold
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: LAMP: A Database Linking Antimicrobial Peptides. https://app.cochat.ai/papers/10.1371/journal.pone.0066557
- The paper
- Zhao, X., Wu, H., Lu, H., Li, G., & Huang, Q. (2013). LAMP: A Database Linking Antimicrobial Peptides. PLoS ONE. https://doi.org/10.1371/journal.pone.0066557
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.