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APD3: the antimicrobial peptide database as a tool for research and education
Open accessAbstract
The antimicrobial peptide database (APD, http://aps.unmc.edu/AP/) is an original database initially online in 2003. The APD2 (2009 version) has been regularly updated and further expanded into the APD3. This database currently focuses on natural antimicrobial peptides (AMPs) with defined sequence and activity. It includes a total of 2619 AMPs with 261 bacteriocins from bacteria, 4 AMPs from archaea, 7 from protists, 13 from fungi, 321 from plants and 1972 animal host defense peptides. The APD3 contains 2169 antibacterial, 172 antiviral, 105 anti-HIV, 959 antifungal, 80 antiparasitic and 185 anticancer peptides. Newly annotated are AMPs with antibiofilm, antimalarial, anti-protist, insecticidal, spermicidal, chemotactic, wound healing, antioxidant and protease inhibiting properties. We also describe other searchable annotations, including target pathogens, molecule-binding partners, post-translational modifications and animal models. Amino acid profiles or signatures of natural AMPs are important for peptide classification, prediction and design. Finally, we summarize various database applications in research and education.
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Cited by
BIOPEP-UWM Database of Bioactive Peptides: Current Opportunities
Minkiewicz, P., Iwaniak, A., & Darewicz, M. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20235978 · Cited by 958
Park, S.-O., Jeong, H., Park, J., Bae, J., & Choi, S. (2022) · Nature Communications · doi:10.1038/s41467-022-30539-6 · Cited by 331
“The training set consists of 1554 AMP sequences, which are collected from three publicly opened databases: the database of Anuran defense peptides (DADP) 38 , the antimicrobial peptide database (APD) 39 , and the a database for antimicrobial peptides (ADAM) 40 .”
MethodRecurrent Neural Network Model for Constructive Peptide Design
Müller, A. T., Hiss, J. A., & Schneider, G. (2018) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.7b00414 · Cited by 270
modlAMP: Python for antimicrobial peptides
Müller, A. T., Gabernet, G., Hiss, J. A., & Schneider, G. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx285 · Cited by 215
Pandi, A., Adam, D., Zare, A., Trinh, V. T., Schaefer, S. L., Burt, M., Klabunde, B., Bobkova, E., Kushwaha, M., Foroughijabbari, Y., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42434-9 · Cited by 173
Metadata
- Authors
- Wang, G., Li, X., & Wang, Z.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-11-23
- Volume
- 44
- Issue
- D1
- Pages
- D1087-D1093
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2175270296
- Cited by
- 2,388
- References
- 1
- FWCI
- 69.74
- Type
- journal article
- Language
- en
- Open access
- gold
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