Evidence map›Paper›PMID 35372784›Full record

ReviewAntibody therapeutics2022

Sagacious epitope selection for vaccines, and both antibody-based therapeutics and diagnostics: tips from virology and oncology.

Samuel Ken-En Gan, Ser-Xian Phua, Joshua Yi Yeo

Abstract readReview
In one paragraph

Review in Antibody therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
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  8. 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

3 authors.

Samuel Ken-En GanAntibody & Product Development Lab, EDDC-BII, Agency for Science, Technology and Research (ASTAR), Singapore 138672, Singapore.ORCID https://orcid.org/0000-0001-9936-5090
Ser-Xian PhuaAntibody & Product Development Lab, EDDC-BII, Agency for Science, Technology and Research (ASTAR), Singapore 138672, Singapore.
Joshua Yi YeoAntibody & Product Development Lab, EDDC-BII, Agency for Science, Technology and Research (ASTAR), Singapore 138672, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The target of an antibody plays a significant role in the success of antibody-based therapeutics and diagnostics, and vaccine development. This importance is focused on the target binding site-epitope, where epitope selection as a part of design thinking beyond traditional antigen selection using whole cell or whole protein immunization can positively impact success. With purified recombinant protein production and peptide synthesis to display limited/selected epitopes, intrinsic factors that can affect the functioning of resulting antibodies can be more easily selected for. Many of these factors stem from the location of the epitope that can impact accessibility of the antibody to the epitope at a cellular or molecular level, direct inhibition of target antigen activity, conservation of function despite escape mutations, and even noncompetitive inhibition sites. By incorporating novel computational methods for predicting antigen changes to model-informed drug discovery and development, superior vaccines and antibody-based therapeutics or diagnostics can be easily designed to mitigate failures. With detailed examples, this review highlights the new opportunities, factors, and methods of predicting antigenic changes for consideration in sagacious epitope selection.

Indexed as

antibody engineeringantibody targetingantigen selectiondrug targetingepitope accessibilityepitope selectionmodel-informed drug discovery and developmentprotein engineering

Identifiers

PMID35372784
PMCPMC8972324

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.