ReviewAdvanced drug delivery reviews2021
In silico T cell epitope identification for SARS-CoV-2: Progress and perspectives.
Review in Advanced drug delivery reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
45 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.
- Landscape of epitopes targeted by T cells in 852 individuals recovered from COVID-19: Meta-analysis, immunoprevalence, and web platform.Cell reports. Medicine · 2021Pooled it
- "Just the Best Ones" combination: a new strategy for multi-epitope vaccine candidate based on immunoinformatics analysis to induce protective immunity against MRSA infection.Microbiology spectrum · 2026Article
- Antigenic Variation and Immune Recognition Inference From the COVID-19 Pandemic: An In Silico Comparative Analysis of Spike T Cell Epitopes From the SARS-CoV-2 Variants of Concern.Influenza and other respiratory viruses · 2026Article
- A protocol for computational design of mRNA vaccines with high functionality and specificity.Biology direct · 2026Article
- Reverse vaccinology-based design of a universal multiepitope vaccine against chikungunya virus: Phylogenetic and immunoinformatics approaches.Scientific reports · 2026Article
- A Bibliometric Analysis on Multi-epitope Vaccine Development Against SARS-CoV-2: Current Status, Development, and Future Directions.Molecular biotechnology · 2026Review
- Hybrid Predictive Machine Learning Model for the Prediction of Immunodominant Peptides of Respiratory Syncytial Virus.Bioengineering (Basel, Switzerland) · 2024Article
- Targeting aging and age-related diseases with vaccines.Nature aging · 2024Review
- CovEpiAb: a comprehensive database and analysis resource for immune epitopes and antibodies of human coronaviruses.Briefings in bioinformatics · 2024Article
- Cross-Reactivity Assessment of Vaccine-Derived SARS-CoV-2 T Cell Responses against BA.2.86 and JN.1.Viruses · 2024Article
- Prediction of antigenic peptides of SARS- CoV-2 pathogen using machine learning.PeerJ. Computer science · 2024Article
- Epitope-based therapeutic targets in HCV genotype 1 non-structural proteins: a novel strategy to combat emerging drug resistance.Frontiers in cellular and infection microbiology · 2024Article
- Class I HLA Allele Predicted Restricted Antigenic Coverages for Fap2 Protein of Fusobacterium Nucleatum Are Associated with Colorectal Cancer Incidence.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- Epitopes and Mimotopes Identification Using Phage Display for Vaccine Development against Infectious Pathogens.Vaccines · 2023Review
- An mRNA-based T-cell-inducing antigen strengthens COVID-19 vaccine against SARS-CoV-2 variants.Nature communications · 2023Article
- Article
- Influence of polymorphic variations of IFNL, HLA, and IL-6 genes in severe cases of COVID-19.Experimental biology and medicine (Maywood, N.J.) · 2023Review
- Functional studies of HLA and its role in SARS-CoV-2: Stimulating T cell response and vaccine development.Life sciences · 2023Review
- Article
- Epitope identification of SARS-CoV-2 structural proteins using in silico approaches to obtain a conserved rational immunogenic peptide.Immunoinformatics (Amsterdam, Netherlands) · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Growing evidence suggests that T cells may play a critical role in combating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Hence, COVID-19 vaccines that can elicit a robust T cell response may be particularly important. The design, development and experimental evaluation of such vaccines is aided by an understanding of the landscape of T cell epitopes of SARS-CoV-2, which is largely unknown. Due to the challenges of identifying epitopes experimentally, many studies have proposed the use of in silico methods. Here, we present a review of the in silico methods that have been used for the prediction of SARS-CoV-2 T cell epitopes. These methods employ a diverse set of technical approaches, often rooted in machine learning. A performance comparison is provided based on the ability to identify a specific set of immunogenic epitopes that have been determined experimentally to be targeted by T cells in convalescent COVID-19 patients, shedding light on the relative performance merits of the different approaches adopted by the in silico studies. The review also puts forward perspectives for future research directions.
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What OpenQuestion holds
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.