ArticleBMC bioinformatics2017
VacSol: a high throughput in silico pipeline to predict potential therapeutic targets in prokaryotic pathogens using subtractive reverse vaccinology.
Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
- AntiPan: a genome-informed in silico pipeline for advancing subunit vaccine discovery against Staphylococcus aureus.Scientific reports · 2026Article
- Pangenomics-Driven Reverse Vaccinology for the Discovery of New Vaccine Candidates AgainstBioinformatics and biology insights · 2026Article
- Computational development of multi-epitope vaccine to induce adaptive immunity against multi-drug resistant Prevotella intermedia.BMC infectious diseases · 2025Article
- B-vac a robust software package for bacterial vaccine design.Scientific reports · 2025Article
- Article
- Molecular insights into pangenome localization and constructs design for Hemophilus influenza vaccine.Scientific reports · 2025Article
- VirusImmu: a novel ensemble machine learning approach for viral immunogenicity prediction.Briefings in functional genomics · 2025Article
- A descriptor-free machine learning framework to improve antigen discovery for bacterial pathogens.PloS one · 2025Article
- NERVE 2.0: boosting the new enhanced reverse vaccinology environment via artificial intelligence and a user-friendly web interface.BMC bioinformatics · 2024Article
- Advances of computational methods enhance the development of multi-epitope vaccines.Briefings in bioinformatics · 2024Review
- Article
- Immunoinformatic-guided designing and evaluating protein and mRNA-based vaccines against Cryptococcus neoformans for immunocompromised patients.Journal, genetic engineering & biotechnology · 2023Article
- Computational Methods in Immunology and Vaccinology: Design and Development of Antibodies and Immunogens.Journal of chemical theory and computation · 2023Review
- Fungal Vaccine Development: State of the Art and Perspectives Using Immunoinformatics.Journal of fungi (Basel, Switzerland) · 2023Review
- Proteome-Wide Screening of Potential Vaccine Targets againstVaccines · 2023Article
- Proteome level analysis of drug-resistantFrontiers in microbiology · 2023Article
- Computer-aided genomic data analysis of drug-resistantFrontiers in cellular and infection microbiology · 2023Article
- Designing a Novel Peptide-Based Multi-Epitope Vaccine to Evoke a Robust Immune Response against Pathogenic Multidrug-ResistantVaccines · 2022Article
- COVID-19 vaccine design using reverse and structural vaccinology, ontology-based literature mining and machine learning.Briefings in bioinformatics · 2022Article
- An In-Silico Investigation to Design a Multi-Epitopes Vaccine against Multi-Drug ResistantVaccines · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith advances in reverse vaccinology approaches, a progressive improvement has been observed in the prediction of putative vaccine candidates. Reverse vaccinology has changed the way of discovery and provides a mean to propose target identification in reduced time and labour. In this regard, high throughput genomic sequencing technologies and supporting bioinformatics tools have greatly facilitated the prompt analysis of pathogens, where various predicted candidates have been found effective against certain infections and diseases. A pipeline, VacSol, is designed here based on a similar approach to predict putative vaccine candidates both rapidly and efficiently.
resultsVacSol, a new pipeline introduced here, is a highly scalable, multi-mode, and configurable software designed to automate the high throughput in silico vaccine candidate prediction process for the identification of putative vaccine candidates against the proteome of bacterial pathogens. Vaccine candidates are screened using integrated, well-known and robust algorithms/tools for proteome analysis, and the results from the VacSol software are presented in five different formats by taking proteome sequence as input in FASTA file format. The utility of VacSol is tested and compared with published data and using the Helicobacter pylori 26695 reference strain as a benchmark.
conclusionVacSol rapidly and efficiently screens the whole bacterial pathogen proteome to identify a few predicted putative vaccine candidate proteins. This pipeline has the potential to save computational costs and time by efficiently reducing false positive candidate hits. VacSol results do not depend on any universal set of rules and may vary based on the provided input. It is freely available to download from: https://sourceforge.net/projects/vacsol/ .
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