Browse Create and Mine Antimicrobial Peptides

NEWS:

DRAMP newly added peptides with reported activities with: FASTS.

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 2026-06-23.

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Contact: Heng Zheng, Ph.D.
zhengh18@hotmail.com

Institute of Medical and Pharmaceutical Biotechnology, Jiangsu Industrial Technology Research Institute.

Zichun Hua: Institute of Medical and Pharmaceutical Biotechnology, Jiangsu Industrial Technology Research Institute.

Hanmei Xu: Director of Jiangsu Province Synthetic Peptide Drug Discovery and Evaluation Engineering Research Center.

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 32296 entries. DRAMP V5.0 has released. The new version particularly focuses on the integration of sequence and structural information for antimicrobial peptides. To this end, we incorporated SMILES representations into the database and proposed a novel FASTS format that combines sequence and structural information within a unified file. This format enables the accurate representation of peptides containing non-natural residues and modifications, facilitates structure-aware sequence analysis, and supports AI/ML-based peptide prediction and design. At the same time, the database has been comprehensively updated with newly reported AMPs and expanded annotations to provide a more complete resource for antimicrobial peptide research.

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 970254590@qq.com.

Read more

*Citation*:

  • Ma T, Liu Y, Yu B, Sun X, Yao H, Hao C, Li J, Nawaz M, Jiang X, Lao X, Zheng H. DRAMP 4.0: an open-access data repository dedicated to the clinical translation of antimicrobial peptides. Nucleic Acids Research, Volume 53, Issue D1, 6 January 2025, Pages D403-D410. PMID: 39526377
  • New Released Structures

    NEWS & EVENTS

    • June 23,2026 DRAMP V5.0 has released.
    • May 21,2026 We uploaded SMILES representations for a subset of the data..
    • April 8,2026 The Download page has been enhanced to provide access to a broader range of activity-related datasets. Users can now download more comprehensive antimicrobial activity information, facilitating large-scale data analysis and research applications.
    • Fab 28,2026 Optimization of the Target Organism page: The Target Organism section has been redesigned from a text-based format to a structured table format, providing clearer presentation of activity annotations and enabling users to quickly identify and compare target organism information.
    • Jan 4,2026 We have updated 172 general data in DRAMP.
    • Nov 13,2025 We have updated 116 patent data in DRAMP.
    • Oct 29,2025 We have updated 125 general data in DRAMP.
    • 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 send an email 970254590@qq.com to us, we will help you solve as soon as possible.

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