NEWS:
DRAMP newly added peptides with reported activities against: SARS-CoV-2.
Commitment:
We are responsible for maintaining the website daily and updating the database regularly. The updated information will be written in the Update page. Last updated on 2022-6-29.
170163 opens since May 20 2013.
External Links
School of Life Science and Technology, China Pharmaceutical University;
Institute of Medical and Pharmaceutical Biotechnology, Jiangsu Industrial Technology Research Institute
zhengh18@hotmail.com
Welcome to DRAMP Database
DRAMP(Data repository of antimicrobial peptides) is an open-access and manually curated database harboring diverse annotations of AMPs including sequences, structures, activities, physicochemical, patent, clinical and reference information. The clinical dataset also includes information on the clinical trial phase, therapeutic applications, company and preclinical or clinical AMP literature sources.
DRAMP currently contains 22407 entries, 6032 of which are general AMPs (containing natural and synthetic AMPs), 16110 patent AMPs and 77 AMPs in drug development (preclinical or clinical stage). In the late update, we added 188 stapled antimicrobial peptides belonging to specific AMPs.
For the purpose of expanding the scope of AMPs design, DRAMP also holds 5909 candidate AMPs which are screened by some platforms whose antibacterial activities haven't been assayed. Such candidate AMPs are seen as an individule part and the total 22259 entries do not include them.
Data in the DRAMP is made available under an CCBY 4.0 License. You are entitled to access and use the services and download or extract data. The free services are offered for the purpose of providing access to summarized data, analytics, metadata, and bulk downloads. If you need the data from the DRAMP for research, please cite the article of original author for general and clinical AMPs, or obtain the authorization for patent AMPs.
We will conduct data mining and design work based on data collected of DRAMP, as those data are valuable for guiding develment and optimization of AMP-drugs. Prediction function based on computational strategies is also expected in our database. We will set out to establish Some high-efficient classifiers.
To all regular downloads, please cite our publications. If you find some errors in the website, please send an email to 2057850020@qq.com.
*Citation*:
New Released Structures
NEWS & EVENTS
- ➢June 29,2022 52 predicted structures have been added and three types of files have been provided for users.
- ➢April 22,2022 91 entries with reported activities against SARS-CoV-2 are added to DRAMP,and some information about activities against SARS-CoV-2 have been updated for 6 entries existed in DRAMP.
- ➢March 12,2022 57 new entries are added to DRAMP,which contain 15 natural AMPs and 42 synthetic AMPs.
- ➢Jan 5,2022 Happy new year! We have deployed some prediction models on the DRAMP, which can help to predict antigram- bacterial activity for cyclic peptides and hemolytic activity for AMPs
- ➢Dec 26,2021 We have introduced 3Dmol viewer to display PDB sturctures and predicted structures.
- ➢Nov 4,2021 274 predicted structures of AMPs existed in DRAMP have been added.
- MORE...
About Us
The database is developed by Dr.Zheng's team. This is the home page of the database, please use the navigation bar in the top of page to browse the database. If you encounter any problems in using this database, you can consult the FAQs/help pages for help or feedback to us, we will help you solve as soon as possible.
