ReviewInformatics in medicine unlocked2021
Role of artificial intelligence in peptide vaccine design against RNA viruses.
Review in Informatics in medicine unlocked, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Artificial intelligence in vaccine research and development: an umbrella review.Frontiers in immunology · 2025Pooled it
- Review
- AI-driven epitope prediction: a system review, comparative analysis, and practical guide for vaccine development.NPJ vaccines · 2025Review
- The Development of a Novel Broad-Spectrum Influenza Polypeptide Vaccine Based on Multi-Epitope Tandem Sequences.Vaccines · 2025Article
- Immunoinformatic-driven design and evaluation of multi-epitope mRNA vaccine targeting HIV-1 gp120.Frontiers in immunology · 2025Article
- Transforming Aquaculture through Vaccination: A Review on Recent Developments and Milestones.Vaccines · 2024Review
- The Applications of Artificial Intelligence (AI)-Driven Tools in Virus-Like Particles (VLPs) Research.Current microbiology · 2024Review
- Discovering conserved epitopes of Monkeypox: Novel immunoinformatic and machine learning approaches.Heliyon · 2024Article
- Review
- Personalized cancer vaccine design using AI-powered technologies.Frontiers in immunology · 2024Review
- Future Prospects, Approaches, and the Government's Role in the Development of a Hepatitis C Virus Vaccine.Pathogens (Basel, Switzerland) · 2023Review
- Identification and evaluation in-vitro of conserved peptides with high affinity to MHC-I as potential protective epitopes for Newcastle disease virus vaccines.BMC veterinary research · 2023Article
- mRNA therapeutics: New vaccination and beyond.Fundamental research · 2023Review
- Editorial: RNA machines.Frontiers in genetics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RNA viruses have high rate of replication and mutation that help them adapt and change according to their environmental conditions. Many viral mutants are the cause of various severe and lethal diseases. Vaccines, on the other hand have the capacity to protect us from infectious diseases by eliciting antibody or cell-mediated immune responses that are pathogen-specific. While there are a few reviews pertaining to the use of artificial intelligence (AI) for SARS-COV-2 vaccine development, none focus on peptide vaccination for RNA viruses and the important role played by AI in it. Peptide vaccine which is slowly coming to be recognized as a safe and effective vaccination strategy has the capacity to overcome the mutant escape problem which is also being currently faced by SARS-COV-2 vaccines in circulation.Here we review the present scenario of peptide vaccines which are developed using mathematical and computational statistics methods to prevent the spread of disease caused by RNA viruses. We also focus on the importance and current stage of AI and mathematical evolutionary modeling using machine learning tools in the establishment of these new peptide vaccines for the control of viral disease.
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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.