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COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning

Frontiers in Immunology(2020)10.3389/fimmu.2020.01581Source: DataRank Database

COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning is a research paper published in Frontiers in Immunology (2020). On theSindex it has a DataRank of 0. It has been cited 458 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access458 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 9.16)OA: goldTopics (77)IDs (PubMed, PMC, OpenAlex)Annotations (3)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Mei U Wong,Anthony Huffman ORCID,Yongqun He ORCID,Edison Ong ORCID

Live enrichment

PubMed:32719684 PMC:PMC7350702 OpenAlex:https://openalex.org/W3040508291

NIAID NIH HHS

Grant: R01 AI081062

NIAID NIH HHS

Grant: UH2 AI132931

National Institutes of Health

Grant: 1UH2AI132931-01A1

Ontology-supported Integrative Analysis and Visualization of Vaccine-induced Pathways and Networks

National Institutes of Health

Grant: 5R01AI081062-02

Ontology-based Information Network to Support Vaccine Research

National Institute of Allergy and Infectious Diseases

FWCI

9.16

Citation Percentile

1.0%

Citation Trend

2020

2021

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.3389/fimmu.2020.01581

publisherhttps://doi.org/10.3389/fimmu.2020.01581

publisherhttps://www.frontiersin.org/article/10.3389/fimmu.2020.01581/full

repositoryhttps://pubmed.ncbi.nlm.nih.gov/32719684

repositoryhttp://hdl.handle.net/2027.42/156072

Fields of Study

SARS-CoV-2 and COVID-19 Researchvaccines and immunoinformatics approachesBiochemical and Structural Characterization0301 basic medicine03 medical and health sciencesAnimalsBetacoronavirusCOVID-19COVID-19 VaccinesCoronavirus InfectionsEpitopes, B-LymphocyteHumansImmunogenicity, VaccineMachine LearningMiddle East Respiratory Syndrome CoronavirusPandemicsPneumonia, ViralSARS-CoV-2Viral ProteinsViral Vaccines

MeSH Terms

Machine LearningImmunogenicity, VaccineBetacoronavirusCOVID-19SARS-CoV-2COVID-19 VaccinesAnimalsHumansPneumonia, ViralViral ProteinsViral VaccinesCoronavirus InfectionsEpitopes, B-LymphocytePandemicsMiddle East Respiratory Syndrome Coronavirus

Keywords

Reverse vaccinologyCoronavirusVirologyBiologyAntigenicitySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)ProteomeCoronavirus disease 2019 (COVID-19)PandemicComputational biologyAntigenMedicineInfectious disease (medical specialty)BioinformaticsImmunologyEpitopeDiseaseVaccineS proteinMachine LearningNon-structural Protein 3VaxignCovid-19Vaxign-MlCOVID-19 VaccinesPneumonia, ViralArticleBetacoronavirusViral ProteinsImmunogenicity, VaccineHealth SciencesAnimalsHumansPandemicsSARS-CoV-2Viral VaccinesRC581-607Microbiology and ImmunologyMiddle East Respiratory Syndrome CoronavirusEpitopes, B-LymphocyteImmunologic diseases. AllergyCoronavirus Infections

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being

COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning

FAIR Checklist

Authors (4)

Funding (5 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)