Expertly analyzes protein sequence data, providing unparalleled insights for the development of targeted vaccines against a wider spectrum of resistant bacteria.

```html
VERSION v1.0
CATEGORY Antigen Prediction
WINDOWS OS independent
LINUX OS independent
INTERNET Required
LICENSE Apache License 2.0
PUBLISHED Not yet
```

What BVAC-AI Does

Bvac-AI uses advanced algorithms to analyze the proteome sequences of bacterial pathogens and identify potential vaccine antigens.

01

Localization Prediction

Identifies surface-exposed and secreted proteins — the first and most critical filter for accessible vaccine targets.

02

Non-Host Homolog Filter

Removes proteins with significant similarity to human proteins, minimizing the risk of cross-reactivity.

03

Virulence Factor Screening

Cross-references candidates against a built-in virulence factor database to prioritize pathogenically relevant proteins.

04

Epitope Mapping

Predicts MHC-I and MHC-II binding epitopes for shortlisted candidates using built-in epitope libraries.

05

Fully Offline & Standalone

Compiled with PyInstaller v6.10.0  runs as a standalone executable on Windows and Linux (Ubuntu). No Python installation, internet connection, or command-line knowledge required.

06

Adjustable Parameters

Users can fine-tune reliability scores, identity percentage thresholds, epitope lengths, and filter selections directly through the GUI to suit their specific organism and analysis goals.

Pipeline

The pipeline takes protein/proteome sequences in fasta as input. The state-of-the-art immunoinformatic tools are integrated into a streamlined computational pipeline

01

Input Proteome

Upload your bacterial protein FASTA file (.faa or .fasta) via the GUI and save your session to a user-defined output directory.

Format: .faa / .fasta

02

Localization Filter

Retains secreted, outer membrane, and fimbrial proteins using pre-saved LocTree3 datasets. Select bacterial genus and strain.

Reliability ≥ 50 · Identity ≥ 70%

03

Non-Host Homolog Filter

Removes proteins with similarity to the human reference proteome (UniProt) to minimize the risk of autoimmune cross-reactions.

Identity 35% · Non-homology 70%

04

Virulence Factor Filter

Screens remaining candidates against 27,502 VFDB entries to identify proteins essential to the pathogen’s virulence.

Identity ≥ 70%

05

Epitope Mapping & Output

Maps B-cell, CD4+, and CD8+ T-cell epitopes on final candidates. Results and FASTA files saved to the output directory.

All lengths · Identity ≥ 50%

Installation

B-vac AI can be installed in Windows or Linux by simple steps

Windows – Bvac_Setup.exe

# 1. Download Bvac Setup.exe from mgbio.tech/tools/

# 2. Double-click to run the installer

# 3. Follow the setup wizard

# 4. Launch B-vac from Desktop or Start Menu

✓  No Python or terminal required

Linux (Ubuntu) – Bvac_deb.deb

# 1. Copy Bvac_deb.deb to your home directory

# 2. Install the package

$ dpkg-deb –build

# 3. Run the application

$ B-vac

✓   Tested on Ubuntu 22.04.2 LTS

Choose Your Plan

All plans are currently free. Pricing will be announced soon.

FREE

0$ / forever

Full access · No credit card needed

  • All 4 pipeline modules
  • Offline & standalone
  • Windows & Linux support
  • Built-in datasets (VFDB, IEDB, LocTree3)
  • Unlimited local analyses
  • Adjustable parameters & thresholds
  • FASTA output files
  • No registration required
PREMIUM

100$ / year

Advanced features for labs & institutions

Features coming soon. Stay tuned for updates.

Ready to Explore Bvac-AI?

COMING SOON

How to Cite B-vac AI

If B-vac contributed to your research, please cite the original publication.

B-vac a robust software package for bacterial vaccine design

PMC12394703

Ali A et al.  Sci Rep · 2025  doi: 10.1038/s41598-025-01201-0

AMA: Ali A, Hamid MHB, Nasir S, Ishaq Z, Anwer F. B-vac a robust software package for bacterial vaccine design. Sci Rep. 2025;15:31745.

APA: Ali, A., Hamid, M. H. B., Nasir, S., Ishaq, Z., & Anwer, F. (2025). B-vac a robust software package for bacterial vaccine design. Scientific Reports, 15, 31745.

MLA: Ali, Amjad, et al. “B-vac a Robust Software Package for Bacterial Vaccine Design.” Scientific Reports, vol. 15, 2025, p. 31745.

NLM: Ali A, Hamid MHB, Nasir S, Ishaq Z, Anwer F. B-vac a robust software package for bacterial vaccine design. Sci Rep. 2025 Aug 28;15:31745. PMCID: PMC12394703.

Contact Us

Email Address

Sales: sales@mgbio.tech

General: info@mgbio.tech

Call / WhatsApp

+92 308 0089944
09:00 AM – 05:00 PM

Find Us

NSTP, National University of Science and Technology, Sector H-12, Islamabad

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