Evidence map›Paper›PMID 34089044›Full record

ReviewBriefings in functional genomics2021

Infectious disease mRNA vaccines and a review on epitope prediction for vaccine design.

Xinhui Cai, Jiao Jiao Li, Tao Liu, Oliver Brian, Jinyan Li

Open access · bronzeAbstract readReview
In one paragraph

Review in Briefings in functional genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Xinhui CaiData Science Institute, Faculty of Engineering & IT, University of Technology Sydney, 15 Broadway, Ultimo, 2007, New South Wales, Australia.
Jiao Jiao LiSchool of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, 15 Broadway, Ultimo, 2007, New South Wales, Australia.
Tao LiuSchool of Life Sciences, Faculty of Science, University of Technology Sydney, 15 Broadway, Ultimo, 2007, New South Wales, Australia.
Oliver BrianChildren's Cancer Institute Australia, University of New South Wales Sydney, Children's Cancer Institute Australia, Randwick, Sydney, 2031, New South Wales, Australia.
Jinyan LiData Science Institute, Faculty of Engineering & IT, University of Technology Sydney, 15 Broadway, Ultimo, 2007, New South Wales, Australia.
University of Technology Sydney · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Messenger RNA (mRNA) vaccines have recently emerged as a new type of vaccine technology, showing strong potential to combat the COVID-19 pandemic. In addition to SARS-CoV-2 which caused the pandemic, mRNA vaccines have been developed and tested to prevent infectious diseases caused by other viruses such as Zika virus, the dengue virus, the respiratory syncytial virus, influenza H7N9 and Flavivirus. Interestingly, mRNA vaccines may also be useful for preventing non-infectious diseases such as diabetes and cancer. This review summarises the current progresses of mRNA vaccines designed for a range of diseases including COVID-19. As epitope study is a primary component in the in silico design of mRNA vaccines, we also survey on advanced bioinformatics and machine learning algorithms which have been used for epitope prediction, and review on user-friendly software tools available for this purpose. Finally, we discuss some of the unanswered concerns about mRNA vaccines, such as unknown long-term side effects, and present with our perspectives on future developments in this exciting area.

Indexed as

AlgorithmsAnimalsCancer VaccinesCommunicable Disease ControlComputational BiologyCOVID-19COVID-19 VaccinesDengue VaccinesDiabetes MellitusEpitopesHumansInfluenza VaccinesMachine LearningNeoplasmsPandemicsPatient SafetyCancer VaccinesCOVID-19 VaccinesDengue VaccinesEpitopesInfluenza VaccinesRespiratory Syncytial Virus VaccinesRNA, MessengerVaccinesCOVID-19epitope predictionmachine learningmRNA vaccinesother infectious diseases

Identifiers

PMID34089044
PMCPMC8194884
OpenAlexW3164812509

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.