A high-throughput, configurable pipeline for predicting putative vaccine candidates in prokaryotic pathogens using subtractive reverse vaccinology. Takes a FASTA proteome as input and delivers ranked candidates with B-cell and T-cell epitope annotations.

 
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VERSION v1.0
CATEGORY Antigen Prediction
RELEASE DATE February 13, 2017
DOWNLOAD VacSol.jar
INTERNET Not Required
LICENSE Free
PUBLISHED BMC Bioinformatics.2017
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What VacSol Does

VacSol automates high-throughput in silico vaccine candidate prediction by integrating established bioinformatics algorithms into a single, multi-mode pipeline. It screens entire bacterial proteomes to rapidly shortlist putative vaccine candidates (PVCs).

01

Proteome Screening

Accepts full bacterial proteomes in FASTA format and screens all proteins through a sequential, configurable filtering pipeline.

02

Subcellular Localization

Identifies extracellular and surface-exposed proteins — the primary accessibility filter for viable vaccine targets.

03

Subtractive Proteomics

Removes proteins homologous to the human host proteome, minimizing cross-reactivity risk and false positive candidates.

04

Essentiality & Virulence

Prioritizes proteins identified as essential and virulent, targeting proteins that are critical for pathogen survival

05

Transmembrane Filter

Retains only proteins with fewer than two transmembrane helices, ensuring target accessibility for immune recognition.

06

Epitope Prediction

Predicts antigenic B-cell and T-cell epitopes on shortlisted PVCs. Results exported in five output formats.

07

Dual Operating Modes

Supports both a user-friendly GUI mode and a standalone command-line mode for batch processing and automation.

08

Benchmarked on H. pylori

Validated and compared against published data using the <em>Helicobacter pylori</em> 26695 reference strain as benchmark.

Pipeline

Submit your bacterial proteome FASTA file and VacSol processes it.

01

Input Proteome

Provide the complete bacterial proteome in FASTA format. VacSol accepts input via file path, GUI upload, UniProt ID, or NCBI accession number.

Format: .fasta / .faa

02

Localization Prediction (Localizer)

Predicts subcellular localization and retains only secreted proteins and those residing in the outer membrane with surface exposure.

Tool: Localizer module

03

Non-Host Homolog Removal (Blaster)

BLASTs remaining candidates against the human proteome. Proteins with significant similarity are discarded to reduce autoimmune risk.

Tool: Blaster module

04

Transmembrane Helix Filtering (Helicer)

Retains proteins with ≤ 2 transmembrane helices. Proteins with excessive membrane-spanning regions are removed as poor vaccine candidates.

Tool: Helicer module

05

Epitope Prediction & Output (Epitoper)

Predicts B-cell and T-cell epitopes on final PVCs. Results are generated in five output formats including complete reports per candidate.

Tool: Epitoper module

Installation

VacSol can be installed on Windows or Linux by following these simple steps.

Windows — VacSol.jar

# 1. Download VacSol.jar from
#   sourceforge.net/projects/vacsol/
 
# 2. Ensure Java is installed
#   java.com/en/download/
 
# 3. Run via Command Prompt
> java -jar VacSol.jar
 
# or double-click if Java is
#   associated with .jar files

✓  Requires Java Runtime Environment (JRE)

Linux (Ubuntu) – Bvac_deb.deb

# 1. Download VacSol.jar from
#    sourceforge.net/projects/vacsol/
 
# 2. Ensure Java is installed

$ sudo apt install default-jre

# 3. Run the application

$ java -jar VacSol.jar

Choose Your Plan

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

FREE

0$ / forever

Full access · No credit card needed

  • Complete proteome screening (FASTA input)
  • Subcellular localization filter (Localizer)
  • Non-host homolog removal (Blaster)
  • Transmembrane helix filtering (Helicer)
  • B-cell & T-cell epitope prediction (Epitoper)
  • GUI & command-line modes
  • Windows & Linux support
  • 5 output report formats
PREMIUM

100$ / year

Advanced features for labs & institutions

Features coming soon. Stay tuned for updates.

Download VacSol

Free to use. No license required. Choose your platform below.

Windows

VacSol.jar

Linux

VacSol.jar

User Documentation & Resources
Installation and User Guide

Step-by-step setup & usage instructions

DEG Codes and Values

Reference data for DEG essential gene codes

System & Pipeline Configuration
Configuration File

Pipeline configuration files

Application Configuration File

Application settings & config schema

How to Cite VacSol

If VacSol contributed to your research, please cite the original publication.

VacSol: a high throughput in silico pipeline to predict potential therapeutic targets in prokaryotic pathogens using subtractive reverse vaccinology

PMID: 28193166

PMC5307925

DOI: 10.1186/s12859-017-1540-0

AMA: Rizwan M, Naz A, Ahmad J, Naz K, Obaid A, Parveen T, Ahsan M, Ali A. VacSol: a high throughput in silico pipeline to predict potential therapeutic targets in prokaryotic pathogens using subtractive reverse vaccinology. BMC Bioinformatics. 2017;18(1):106.
APA: Rizwan, M., Naz, A., Ahmad, J., Naz, K., Obaid, A., Parveen, T., Ahsan, M., & Ali, A. (2017). VacSol: a high throughput in silico pipeline to predict potential therapeutic targets in prokaryotic pathogens using subtractive reverse vaccinology. BMC Bioinformatics, 18(1), 106. design. Scientific Reports, 15, 31745.
MLA: Rizwan, Muhammad, et al. “VacSol: A High Throughput In Silico Pipeline to Predict Potential Therapeutic Targets in Prokaryotic Pathogens Using Subtractive Reverse Vaccinology.” BMC Bioinformatics, vol. 18, no. 1, 2017, p. 106.
NLM: Rizwan M, Naz A, Ahmad J, Naz K, Obaid A, Parveen T, Ahsan M, Ali A. VacSol: a high throughput in silico pipeline to predict potential therapeutic targets in prokaryotic pathogens using subtractive reverse vaccinology. BMC Bioinformatics. 2017 Feb 13;18(1):106.

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