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DRAMP 3.0: an enhanced comprehensive data repository of antimicrobial peptides
| Content Provider | Oxford Academic |
|---|---|
| Author | Shi, Guobang Kang, Xinyue Dong, Fanyi Liu, Yanchao Zhu, Ning Hu, Yuxuan Xu, Hanmei Lao, Xingzhen Zheng, Heng |
| Copyright Year | 2022 |
| Abstract | Stapled antimicrobial peptides are an emerging class of artificial cyclic peptide molecules which have antimicrobial activity and potent structure stability. We previously published the Data Repository of Antimicrobial Peptides (DRAMP) as a manually annotated and open-access database of antimicrobial peptides (AMPs). In the update of version 3.0, special emphasis was placed on the new development of stapled AMPs, and a subclass of specific AMPs was added to store information on these special chemically modified AMPs. To help design low toxicity AMPs, we also added the cytotoxicity property of AMPs, as well as the expansion of newly discovered AMP data. At present, DRAMP has been expanded and contains 22259 entries (2360 newly added), consisting of 5891 general entries, 16110 patent entries, 77 clinical entries and 181 stapled AMPs. A total of 263 entries have predicted structures, and more than 300 general entries have links to experimentally determined structures in the Protein Data Bank. The update also covers new annotations, statistics, categories, functions and download links. DRAMP is available online at http://dramp.cpu-bioinfor.org/. |
| Related Links | https://academic.oup.com/nar/article-pdf/50/D1/D488/42058415/gkab651.pdf |
| Ending Page | D496 |
| Starting Page | D488 |
| File Format | |
| ISSN | 03051048 |
| e-ISSN | 13624962 |
| DOI | 10.1093/nar/gkab651 |
| Journal | Nucleic Acids Research |
| Issue Number | D1 |
| Volume Number | 50 |
| Language | English |
| Publisher | Oxford Academic |
| Publisher Date | 2022-01-07 |
| Access Restriction | Open |
| Subject Keyword | Science and Mathematics Peptides Antimicrobials Skin Closures, Stapled Patents Cytotoxicity |
| Content Type | Text |
| Resource Type | Article |
| Subject | Genetics |
