Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Bioinformatics and immunoinformatics to support COVID‐19 vaccine development

15 Apr 2021

Abstract excerpt

Severe acute respiratory syndrome coronavirus 2 has infected over 109 000 000 people with 2 423 443 deaths as of February 17, 2021. Currently, there are no approved or consistently effective treatments, and conventional vaccines may take several years for development and testing. In silico methods of bioinformatics, vaccinogenomics, immunoinformatics, structural biology, and molecular simulations can be used for...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Immunotherapy and Immune Responses
Share to SARS-CoV-2 and COVID-19 Research
Share to vaccines and immunoinformatics approaches

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 33851735
DOI: 10.1002/jmv.27017

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Bioinformatics and immunoinformatics to support COVID‐19 vaccine developmentPMID 33851735Read ↗

Next-Generation Bioinformatics Approaches and Resources for Coronavirus Vaccine Discovery and Development—A Perspective ReviewSemantic proximity Read ↗

Bioinformatics Analysis of SARS-CoV-2 to Approach an Effective Vaccine Candidate Against COVID-19Semantic proximity Read ↗

Multi-Epitope Vaccine Design Using an Immunoinformatic Approach for SARS-CoV-2Semantic proximity Read ↗

Design and optimization of a subunit vaccine targeting COVID-19 molecular shreds using an immunoinformatics frameworkSemantic proximity Read ↗

Immunoinformatics prediction of overlapping CD8+ T-cell, IFN-γ and IL-4 inducer CD4+ T-cell and linear B-cell epitopes based vaccines against COVID-19 (SARS-CoV-2)Semantic proximity Read ↗

An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study.Semantic proximity Read ↗

Excavating SARS‐coronavirus 2 genome for epitope‐based subunit vaccine synthesis using immunoinformatics approachSemantic proximity Read ↗

Immunoinformatics-Based Identification of B and T Cell Epitopes in RNA-Dependent RNA Polymerase of SARS-CoV-2Semantic proximity Read ↗

Designing a novel vaccine against COVID-19 based on spike SARS-Cov-2 notable mutations using immunoinformatics approaches.Semantic proximity Read ↗

Determine the Potential Epitope Based Peptide Vaccine Against Novel SARS-CoV-2 Targeting Structural Proteins Using Immunoinformatics ApproachesSemantic proximity Read ↗

Designing a multi-epitope vaccine against coxsackievirus B based on immunoinformatics approachesSemantic proximity Read ↗

Design of a multi-epitope vaccine against SARS-CoV-2 using immunoinformatics approachSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.