The Phage Receptor Binding Protein Database

A central hub for Tailspike and Tail Fibers

A web-based, searchable database for exploring phage receptor binding proteins (RBPs), including tailspikes and tail fibers. Built with Django and backed by MySQL, the platform enables filtering by taxonomy, domain architecture, and class. All proteins have experimental or AlphaFold3-predicted structures. Includes interactive visualization, export tools, and integrated domain annotations for in-depth analysis.

Search the Database Learn More

Database Features

Comprehensive tools for phage receptor binding protein research

Advanced Search

Filter by taxonomy, domain architecture, protein class, and evidence type to find exactly what you need.

3D Visualization

Interactive exploration of experimental and AlphaFold3-predicted protein structures with detailed annotations.

Data Export

Export search results in multiple formats for further analysis in your preferred tools and workflows.

Development Roadmap

Current initiatives and upcoming features

Phage Integration

  • Integrate Phold into database
  • Collect all phage-related proteins (GenBank + UniProt)
  • Run sequence-based detection tools and import results

Prophage Pipeline

  • Implement prophage pipeline
  • Annotate prophage proteins and domains

Evidence Integration

Comprehensive annotation from multiple bioinformatics tools

Tool Status Tool Status
UniProt annotation ✔ Included Genbank Annotation ✔ Included
Phold ✔ Included DepoScope ✔ Included
DePP ✔ Included PhageDPO ✔ Included
RBPdetect2 ✔ Included RBPdetect ✔ Included

Data Collection Workflow

Automated pipeline for data integration and annotation

Data Collection Scheme
1

UniProt Pipeline

Fetch all phage taxons via NCBI using phage[Name Tokens], then retrieve UniProt entries with: organism_id:{'{'}taxon_id{'}'} in FASTA format.

2

GenBank Pipeline

Filter GenBank UIDs with: -db nucleotide -query "gbdiv_PHG[PROP] AND 1417:800000[SLEN]" | efetch -format uid and download records for insertion.

3

Integration Steps

Insert proteins into database, merge evidence, fetch phage-host relationships, retrieve domain annotations, and populate literature metadata.

Run Locally

git clone https://github.com/victornemeth/PhaRBP.git
cd PhaRBP
docker compose up -d --build

# Access at http://localhost:8004

Note: The official site is deployed via NPM; this repo is for development.