VacSol
VacSol predicts in silico vaccine candidate proteins from bacterial pathogen proteomes using reverse vaccinology-based computational screening.
Key Features:
- High-Throughput Capability: Handles large-scale genomic and proteomic data to analyze entire bacterial proteomes.
- Scalability and Configurability: Supports multi-mode operations and configurable parameters for diverse research needs.
- Integration with Robust Algorithms: Incorporates established bioinformatics algorithms for proteome analysis and candidate screening.
- Multiple Output Formats: Exports results in five distinct formats for downstream analysis.
- Input Format Support: Accepts proteome sequences in FASTA file format.
- False-Positive Reduction: Emphasizes efficiency and accuracy to reduce false positive hits during screening.
Scientific Applications:
- Vaccine Development: Identifies promising vaccine targets against bacterial pathogens for reverse vaccinology workflows.
- Comparative Analysis: Enables benchmarking and comparative studies, demonstrated with Helicobacter pylori 26695 reference strain.
Methodology:
VacSol accepts proteome FASTA inputs and applies integrated bioinformatics tools and reverse vaccinology algorithms to screen for putative vaccine candidates, outputting results in five formats while emphasizing reduction of false positives.
Topics
Collections
Details
- Tool Type:
- desktop application, workflow
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 5/24/2018
- Last Updated:
- 3/26/2019
Operations
Data Inputs & Outputs
Virulence prediction
Inputs
Outputs
Epitope mapping
Outputs
Other operations do not define inputs or outputs.
Publications
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). doi:10.1186/s12859-017-1540-0. PMID:28193166. PMCID:PMC5307925.