DAMPD

DAMPD catalogs 1232 manually curated antimicrobial peptide sequences and associated annotations to support discovery and analysis of AMPs as templates for novel anti-infective agents.


Key Features:

  • Curated Content: Contains 1232 manually curated entries of known and putative antimicrobial peptides with curated annotations.
  • Searchable Annotations: Enables queries by taxonomy, species, AMP family, citation, keywords, and combined queries via an Advanced Search.
  • Integrated Analytical Tools: Provides BLAST for sequence alignment, ClustalW for multiple sequence alignment, HMMER for profile HMM analysis, Hydrocalculator for hydrophobicity analysis, SignalP for signal peptide prediction, and an AMP predictor for AMP identification.
  • Supplementary Data: Links and additional resources accompany results to provide further contextual information about entries.

Scientific Applications:

  • AMP discovery and annotation: Identification and annotation of antimicrobial peptides with specific characteristics or functions.
  • Sequence analysis and comparison: Comparative sequence analyses using BLAST, ClustalW, and HMMER and biophysical analyses such as hydrophobicity and signal peptide prediction.
  • Therapeutic lead identification: Selection of AMPs as templates for developing novel anti-infective agents.
  • Research support in related fields: Supports investigations in microbiology, biochemistry, and pharmacology focused on antimicrobial peptides.

Methodology:

Manual curation of entries and integration of computational analyses using BLAST, ClustalW, HMMER, Hydrocalculator, SignalP, and an AMP predictor.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
PHP, Perl, SQL
Added:
3/30/2017
Last Updated:
12/10/2018

Operations

Data Inputs & Outputs

Antimicrobial resistance prediction

Inputs

    Publications

    Seshadri Sundararajan V, et al. DAMPD: a manually curated antimicrobial peptide database. Nucleic Acids Res. 2012; 40:D1108-12. doi: 10.1093/nar/gkr1063

    PMID: 22110032

    Documentation