Browse Create and Mine Antimicrobial Peptides

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 2021-1-8.

117474 opens since May 20 2013.

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Contact: Zheng Heng, Ph.D.
Sub-platform of Biomedicine Technology Transfer of Technology Transfer Platform, Nanjing University National Demonstration Base for Innovation and Entrepreneurship;
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 28062 entries, 5822 of which are general AMPs (containing natural and synthetic AMPs), 6054 specific AMPs, 16110 patent AMPs and 76 AMPs in drug development (preclinical or clinical stage).

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 602192794@qq.com.

Read more

Citing Us:

  • Kang X.; Dong F.; Shi C.; Zheng H. et al. DRAMP 2.0, an updated data repository of antimicrobial peptides. Scientific Data. 2019; 6(1): 148. PMID:31409791
  • Liu S.; Bao J.; Lao X.; Zheng H. Novel 3D Structure Based Model for Activity Prediction and Design of Antimicrobial Peptides. Sci Rep. 2018 Jul 25;8(1):11189. PMID:30046138
  • Liu S.; Fan L.; Sun J.; Lao X.; Zheng H. Computational resources and tools for antimicrobial peptides. J Pept Sci. 2017 Jan;23(1):4-12. PMID:27966278
  • Fan L.; Sun J.; Zhou M.; Zhou J.; Lao X.; Zheng H.; Xu H. DRAMP: a comprehensive data repository of antimicrobial peptides. Sci Rep. 2016 Apr 14;6:24482. PMID: 27075512
  • New Released Structures

    NEWS & EVENTS

    • January 8,2021 1371 new patent entries are added to DRAMP.
    • December 26,2020 There is a update about new entries and classification.
    • December 13,2020 DRAMP V3.0 has released. There is a big update about new entries and new classification.
    • September 14,2020 31 entries are re-updated in the General dataset. 4 redundant entries(DRAMP20840, DRAMP20931, DRAMP20954 and DRAMP20962) are deleted and such DRAMP_IDs will keep empty until new entries are added. Besides, we redo the "Submit" function and now you can easily contribute valuable information about AMPs. The information will be checked before presented in DRAMP.
    • August 17,2020 158 new entries are added in DRAMP. 9 entries are natural AMPs which are all animal AMPs. 149 entris are synthetic AMPs. Next update will be soon, which foucuses on some corrections and complements of existing entries.
    • 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.

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