Expertly analyzes protein sequence data, providing unparalleled insights for the development of targeted vaccines against a wider spectrum of resistant bacteria.
Bvac-AI uses advanced algorithms to analyze the proteome sequences of bacterial pathogens and identify potential vaccine antigens.
Identifies surface-exposed and secreted proteins — the first and most critical filter for accessible vaccine targets.
Removes proteins with significant similarity to human proteins, minimizing the risk of cross-reactivity.
Cross-references candidates against a built-in virulence factor database to prioritize pathogenically relevant proteins.
Predicts MHC-I and MHC-II binding epitopes for shortlisted candidates using built-in epitope libraries.
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.
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.
The pipeline takes protein/proteome sequences in fasta as input. The state-of-the-art immunoinformatic tools are integrated into a streamlined computational pipeline
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
Retains secreted, outer membrane, and fimbrial proteins using pre-saved LocTree3 datasets. Select bacterial genus and strain.
Reliability ≥ 50 · Identity ≥ 70%
Removes proteins with similarity to the human reference proteome (UniProt) to minimize the risk of autoimmune cross-reactions.
Identity 35% · Non-homology 70%
Screens remaining candidates against 27,502 VFDB entries to identify proteins essential to the pathogen’s virulence.
Identity ≥ 70%
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%
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
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.
COMING SOON
If B-vac contributed to your research, please cite the original publication.
PMC12394703
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.
Sales: sales@mgbio.tech
General: info@mgbio.tech
+92 308 0089944
09:00 AM – 05:00 PM
NSTP, National University of Science and Technology, Sector H-12, Islamabad
is the manually-curated database for antimicrobial peptides (AMPs) specifically against Acinetobacter baumannii.The database offers insights of antimicrobial potentials of these AMPs
is the manually curated database, where you can find experimentally validated bacterial protective immunogens published and reported in literature.
a high throughput in silico pipeline to predict potential therapeutic targets in prokaryotic pathogens using subtractive reverse vaccinology
is a pipeline that uses machine learning algorithms to predict potential vaccine candidates in ESKAPE pathogens
expertly analyzes protein sequence data, providing unparalleled insights for the development of targeted vaccines against a wider spectrum of resistant bacteria.
is a Linux based software package in JAVA language that uses both pangenome and reverse vaccinology approaches
is the updated version of PanRV, a software package for robust pan-genome analysis. B-Pan integrates functional annotations and algorithms for phylogenetic and evolutionary analysis
Chat with us