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DRAMP 2.0, an updated data repository of antimicrobial peptides

Open access
Kang, Xinyue, Dong, Fanyi, Shi, Cheng, Liu, Shicai, Sun, Jian, Chen, Jiaxin, Li, Haiqi, Xu, Hanmei, Lao, Xingzhen, Zheng, Heng·2019·Scientific Data

Abstract

Data Repository of Antimicrobial Peptides (DRAMP, http://dramp.cpu-bioinfor.org/) is an open-access comprehensive database containing general, patent and clinical antimicrobial peptides (AMPs). Currently DRAMP has been updated to version 2.0, it contains a total of 19,899 entries (newly added 2,550 entries), including 5,084 general entries, 14,739 patent entries, and 76 clinical entries. The update covers new entries, structures, annotations, classifications and downloads. Compared with APD and CAMP, DRAMP contains 14,040 (70.56% in DRAMP) non-overlapping sequences. In order to facilitate users to trace original references, PubMed_ID of references have been contained in activity information. The data of DRAMP can be downloaded by dataset and activity, and the website source code is also available on dedicatedly designed download webpage. Although thousands of AMPs have been reported, only a few parts have entered clinical stage. In the paper, we described several AMPs in clinical trials, including their properties, indications and clinicaltrials.gov identifiers. Finally, we provide the applications of DRAMP in the development of AMPs.

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Metadata

Authors
Kang, X., Dong, F., Shi, C., Liu, S., Sun, J., Chen, J., Li, H., Xu, H., Lao, X., & Zheng, H.
Venue
Scientific Data
Published
2019-08-13
Volume
6
Issue
1
Pages
148-148
ISSN
2052-4463 (ISSN-L)
OpenAlex
W2965128681
Cited by
393
References
3
Type
data paper
Language
en
Open access
gold

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CoChat. (2026). Citation check: DRAMP 2.0, an updated data repository of antimicrobial peptides. https://app.cochat.ai/papers/10.1038/s41597-019-0154-y
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Kang, X., Dong, F., Shi, C., Liu, S., Sun, J., Chen, J., Li, H., Xu, H., Lao, X., & Zheng, H. (2019). DRAMP 2.0, an updated data repository of antimicrobial peptides. Scientific Data. https://doi.org/10.1038/s41597-019-0154-y

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.