ArticleBioinformatics (Oxford, England)2014
Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology.
Article in Bioinformatics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- AntiPan: a genome-informed in silico pipeline for advancing subunit vaccine discovery against Staphylococcus aureus.Scientific reports · 2026Article
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- Genome of the invasive North American Haemaphysalis longicornis tick as a template for bovine anti-tick vaccine discovery.BMC genomics · 2025Article
- VirusImmu: a novel ensemble machine learning approach for viral immunogenicity prediction.Briefings in functional genomics · 2025Article
- Advances of computational methods enhance the development of multi-epitope vaccines.Briefings in bioinformatics · 2024Review
- Computational Methods in Immunology and Vaccinology: Design and Development of Antibodies and Immunogens.Journal of chemical theory and computation · 2023Review
- A state-of-the-art methodology for high-throughput in silico vaccine discovery against protozoan parasites and exemplified with discovered candidates for Toxoplasma gondii.Scientific reports · 2023Article
- A comparative 'omics' approach for prediction of candidate Strongyloides stercoralis diagnostic coproantigens.PLoS neglected tropical diseases · 2023Article
- Prediction of Bacterial Immunogenicity by Machine Learning Methods.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Quantum vaccinomics platforms to advance in vaccinology.Frontiers in immunology · 2023Article
- Compilation of parasitic immunogenic proteins from 30 years of published research using machine learning and natural language processing.Scientific reports · 2022Article
- Machine Learning and Its Applications for Protozoal Pathogens and Protozoal Infectious Diseases.Frontiers in cellular and infection microbiology · 2022Review
- CD8TCEI-EukPath: A Novel Predictor to Rapidly Identify CD8Frontiers in genetics · 2022Article
- A reverse vaccinology approach identifies putative vaccination targets in the zoonotic nematodeFrontiers in veterinary science · 2022Article
- Machine learning and applications in microbiology.FEMS microbiology reviews · 2021Review
- Identification of vaccine targets in pathogens and design of a vaccine using computational approaches.Scientific reports · 2021Article
- Development of a Modular Vaccine Platform for Multimeric Antigen Display Using an Orthobunyavirus Model.Vaccines · 2021Article
- Article
- Research intoPathogens (Basel, Switzerland) · 2020Review
- Computational MHC-I epitope predictor identifies 95% of experimentally mapped HIV-1 clade A and D epitopes in a Ugandan cohort.BMC infectious diseases · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
unlabelledWe present Vacceed, a highly configurable and scalable framework designed to automate the process of high-throughput in silico vaccine candidate discovery for eukaryotic pathogens. Given thousands of protein sequences from the target pathogen as input, the main output is a ranked list of protein candidates determined by a set of machine learning algorithms. Vacceed has the potential to save time and money by reducing the number of false candidates allocated for laboratory validation. Vacceed, if required, can also predict protein sequences from the pathogen's genome. AVAILABILITY AND IMPLEMENTATION: Vacceed is tested on Linux and can be freely downloaded from https://github.com/sgoodswe/vacceed/releases (includes a worked example with sample data). Vacceed User Guide can be obtained from https://github.com/sgoodswe/vacceed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.