The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
APD: the Antimicrobial Peptide Database
Open accessAbstract
An antimicrobial peptide database (APD) has been established based on an extensive literature search. It contains detailed information for 525 peptides (498 antibacterial, 155 antifungal, 28 antiviral and 18 antitumor). APD provides interactive interfaces for peptide query, prediction and design. It also provides statistical data for a select group of or all the peptides in the database. Peptide information can be searched using keywords such as peptide name, ID, length, net charge, hydrophobic percentage, key residue, unique sequence motif, structure and activity. APD is a useful tool for studying the structure-function relationship of antimicrobial peptides. The database can be accessed via a web-based browser at the URL: http://aps.unmc.edu/AP/main.html.
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
Cationic Antimicrobial Peptides: Issues for Potential Clinical Use
Bradshaw, J. P. (2003) · BioDrugs · doi:10.2165/00063030-200317040-00002 · Cited by 293
Cited by
APD2: the updated antimicrobial peptide database and its application in peptide design.
Wang, G., Li, X., & Wang, Z. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn823 · Cited by 941
Self-citationCAMP: a useful resource for research on antimicrobial peptides.
Thomas, S., Karnik, S., Barai, R. S., Jayaraman, V. K., & Idicula-Thomas, S. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkp1021 · Cited by 462
The Use of Therapeutic Peptides to Target and to Kill Cancer Cells
J. Boohaker, R., W. Lee, M., Vishnubhotla, P., M. Perez, J. L., & R. Khaled, A. (2012) · Current Medicinal Chemistry · doi:10.2174/092986712801661004 · Cited by 302
Wang, G., Mishra, B., Epand, R. F., & Epand, R. M. (2014) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/j.bbamem.2014.01.016 · Cited by 184
PepBank - a database of peptides based on sequence text mining and public peptide data sources.
Shtatland, T., Guettler, D., Kossodo, M., Pivovarov, M., & Weissleder, R. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-280 · Cited by 181
Antimicrobial peptides: promising compounds against pathogenic microorganisms
Cruz, J., Ortiz, C., Guzmán, F., Fernández-Lafuente, R., & Torres, R. (2014) · Current Medicinal Chemistry · doi:10.2174/0929867321666140217110155 · Cited by 166
Panchaud, A., Affolter, M., & Kussmann, M. (2012) · Journal of Proteomics · doi:10.1016/j.jprot.2011.12.022 · Cited by 159
Class IIa Bacteriocins: Diversity and New Developments
Cui, Y., Zhang, C., Wang, Y., Shi, J., Zhang, L., Ding, Z., Qu, X., & Cui, H. (2012) · International Journal of Molecular Sciences · doi:10.3390/ijms131216668 · Cited by 125
The rumen microbiome: an underexplored resource for novel antimicrobial discovery
Oyama, L. B., Girdwood, S. E., Cookson, A. R., Fernandez-Fuentes, N., Privé, F., Vallin, H. E., Wilkinson, T. J., Golyshin, P. N., Golyshina, O. V., Mikut, R., et al. (2017) · npj Biofilms and Microbiomes · doi:10.1038/s41522-017-0042-1 · Cited by 80
Prediction of antimicrobial peptides based on the adaptive neuro‐fuzzy inference system application
Fernandes, F. C., Rigden, D. J., & Franco, O. L. (2012) · Peptide Science · doi:10.1002/bip.22066 · Cited by 67
Food peptidomics: large scale analysis of small bioactive peptides — A pilot study.
Lahrichi, S. L., Affolter, M., Zolezzi, I. S., & Panchaud, A. (2013) · Journal of Proteomics · doi:10.1016/j.jprot.2013.02.018 · Cited by 63
Migliolo, L., Silva, O. N., Silva, P. A., Costa, M. P., Costa, C. R., Nolasco, D. O., Barbosa, J. A. R. G., Silva, M. R. R., Bemquerer, M. P., Lima, L. M. P., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047047 · Cited by 48
Metadata
- Authors
- Wang, Z.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-01-01
- Volume
- 32
- Issue
- 90001
- Pages
- 590D-592
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2115622227
- Cited by
- 808
- References
- 1
- FWCI
- 6.83
- Type
- journal article
- Language
- en
- Open access
- bronze
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.