Evidence map›Paper›PMID 26526043›Full record

ReviewJournal of immunology research2015

Structural and Computational Biology in the Design of Immunogenic Vaccine Antigens.

Lassi Liljeroos, Enrico Malito, Ilaria Ferlenghi, Matthew James Bottomley

Open access · goldAbstract readReview
In one paragraph

Review in Journal of immunology research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

46 citing papers in PubMed, 92 citations in OpenAlex.

  1. Article
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  4. Frontiers in immunology · 2026
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  5. Review
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  15. Toward rational vaccine engineering.Advanced drug delivery reviews · 2022
    Review
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  18. Review
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  20. Review
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

4 authors at 2 institutions in 1 country.

Lassi LiljeroosNovartis Vaccines & Diagnostics S.r.l. (a GSK Company), Via Fiorentina 1, 53100 Siena, Italy.
Enrico MalitoNovartis Vaccines & Diagnostics S.r.l. (a GSK Company), Via Fiorentina 1, 53100 Siena, Italy.
Ilaria FerlenghiNovartis Vaccines & Diagnostics S.r.l. (a GSK Company), Via Fiorentina 1, 53100 Siena, Italy.
Matthew James BottomleyNovartis Vaccines & Diagnostics S.r.l. (a GSK Company), Via Fiorentina 1, 53100 Siena, Italy.
Novartis (Italy) · ITToscana Life Sciences · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccination is historically one of the most important medical interventions for the prevention of infectious disease. Previously, vaccines were typically made of rather crude mixtures of inactivated or attenuated causative agents. However, over the last 10-20 years, several important technological and computational advances have enabled major progress in the discovery and design of potently immunogenic recombinant protein vaccine antigens. Here we discuss three key breakthrough approaches that have potentiated structural and computational vaccine design. Firstly, genomic sciences gave birth to the field of reverse vaccinology, which has enabled the rapid computational identification of potential vaccine antigens. Secondly, major advances in structural biology, experimental epitope mapping, and computational epitope prediction have yielded molecular insights into the immunogenic determinants defining protective antigens, enabling their rational optimization. Thirdly, and most recently, computational approaches have been used to convert this wealth of structural and immunological information into the design of improved vaccine antigens. This review aims to illustrate the growing power of combining sequencing, structural and computational approaches, and we discuss how this may drive the design of novel immunogens suitable for future vaccines urgently needed to increase the global prevention of infectious disease.

Indexed as

Antigens, BacterialComputational BiologyEpitope MappingEpitopesHigh-Throughput Nucleotide SequencingHumansSoftwareVaccinesAntigens, BacterialEpitopesVaccines

Identifiers

PMID26526043
PMCPMC4615220
OpenAlexW1933315991

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.