An open-source, manually curated database of experimentally validated bacterial protective immunogens — key targets for vaccine development against bacterial pathogens, with integrated machine-learning-powered analysis.
Bacterial Protective Antigens Database focuses on protective antigens that elicit immune responses specifically safeguarding the host from bacterial pathogens. These immunogens are prime candidates for vaccine development, and BPAdb makes them searchable, downloadable, and analysable.
A manually curated collection of bacterial protective antigens drawn from peer-reviewed literature. Every entry is experimentally validated — no computationally predicted entries without wet-lab evidence.
Specific focus on antigens that elicit protective immune responses against bacterial pathogens — directly relevant to rational vaccine design and epitope-based immunotherapy strategies.
Covers a broad spectrum of bacterial pathogens including ESKAPE organisms and WHO priority pathogens, allowing cross-organism comparative analysis of protective immunogens.
Advanced ML models predict bacterial protective antigens from your FASTA sequences. Upload your protein dataset and let the pipeline identify promising vaccine and therapeutic candidates automatically.
The full database is available for offline use via GitHub. No internet required for local analysis — ideal for secure research environments and high-throughput computational workflows.
Each immunogen entry is linked to its primary publication, enabling researchers to trace experimental evidence, review MIC/protection data, and verify immunogenicity annotations at the source.
AbAMPdb was built through a rigorous four-stage workflow integrating multi-database curation, computational property analysis, structure prediction, and molecular docking.
Systematic search of PubMed and primary journals using targeted keywords for bacterial protective antigens, vaccine candidates, and immunogens across pathogenic bacteria.
Strict inclusion criteria: only antigens with direct experimental evidence of protective immunity — passive transfer assays, challenge studies, or seroprotection data.
Expert-curated annotations including organism, protein name, sequence, protective mechanism, and linked publication — ensuring accuracy and biological relevance.
BPAdb entries used as gold-standard training data for machine learning models capable of predicting novel protective antigens from unannotated proteomes.
Database deployed online with search, browse, and download functionality, and linked to the vaccinesai.mgbio.tech analysis framework for real-time ML-based prediction.
All plans are currently free. Pricing will be announced soon.
0$ / forever
Full access · No credit card needed
100$ / year
Advanced features for labs & institutions
Features coming soon. Stay tuned for updates.
Access experimentally validated bacterial protective immunogens, run ML-powered antigen predictions, and download the full standalone database — all freely available.
If AbAMPdb contributed to your research, please cite the original publication.
PMID: 39395188
PMC11470754
DOI: 10.1093/database/baae096
NLM: Anwer F, Navid A, Faiz F, Haider U, Nasir S, Farooq M, Zahra M, Bano A, Bashir HH, Ahmad M, Abbas SA, Room SE, Saeed MT, Ali A. AbAMPdb: a database of Acinetobacter baumannii specific antimicrobial peptides. Database (Oxford). 2024 Oct 12;2024:baae096. doi: 10.1093/database/baae096.
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