Evidence map›Paper›PMID 39144127›Full record

ReviewClinical and experimental vaccine research2024

Insights into structural vaccinology harnessed for universal coronavirus vaccine development.

Chin Peng Lim, Chiuan Herng Leow, Hui Ting Lim, Boon Hui Kok, Candy Chuah, Jonas Ivan Nobre Oliveira, Malcolm Jones, Chiuan Yee Leow

Abstract readReview
In one paragraph

Review in Clinical and experimental vaccine research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Chin Peng LimSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor, Malaysia.ORCID https://orcid.org/0000-0002-5789-7109
Chiuan Herng LeowInstitute for Research in Molecular Medicine, Universiti Sains Malaysia, Gelugor, Malaysia.ORCID https://orcid.org/0000-0003-0849-428X
Hui Ting LimInstitute for Research in Molecular Medicine, Universiti Sains Malaysia, Gelugor, Malaysia.ORCID https://orcid.org/0000-0002-0937-467X
Boon Hui KokInstitute for Research in Molecular Medicine, Universiti Sains Malaysia, Gelugor, Malaysia.ORCID https://orcid.org/0000-0002-6075-8265
Candy ChuahFaculty of Medicine, Asian Institute of Medical Science and Technology University, Bedong, Malaysia.ORCID https://orcid.org/0000-0001-6113-5070
Jonas Ivan Nobre OliveiraDepartment of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande do Norte, Natal, Brazil.ORCID https://orcid.org/0000-0003-1646-921X
Malcolm JonesSchool of Veterinary Science, The University of Queensland, Gatton, Australia.ORCID https://orcid.org/0000-0002-0035-6141
Chiuan Yee LeowSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor, Malaysia.ORCID https://orcid.org/0000-0002-6919-5921

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural vaccinology is pivotal in expediting vaccine design through high-throughput screening of immunogenic antigens. Leveraging the structural and functional characteristics of antigens and immune cell receptors, this approach employs protein structural comparison to identify conserved patterns in key pathogenic components. Molecular modeling techniques, including homology modeling and molecular docking, analyze specific three-dimensional (3D) structures and protein interactions and offer valuable insights into the 3D interactions and binding affinity between vaccine candidates and target proteins. In this review, we delve into the utilization of various immunoinformatics and molecular modeling tools to streamline the development of broad-protective vaccines against coronavirus disease 2019 variants. Structural vaccinology significantly enhances our understanding of molecular interactions between hosts and pathogens. By accelerating the pace of developing effective and targeted vaccines, particularly against the rapidly mutating severe acute respiratory syndrome coronavirus 2 and other prevalent infectious diseases, this approach stands at the forefront of advancing immunization strategies. The combination of computational techniques and structural insights not only facilitates the identification of potential vaccine candidates but also contributes to the rational design of vaccines, fostering a more efficient and targeted approach to combatting infectious diseases.

Indexed as

Human coronavirusesImmunoinformaticsMolecular structureUniversal coronavirus vaccineVaccinology

Identifiers

PMID39144127
PMCPMC11319108

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.