Evidence map›Paper›PMID 38812514›Full record

ReviewFrontiers in immunology2024

Prospects for the computational humanization of antibodies and nanobodies.

Gemma L Gordon, Matthew I J Raybould, Ashley Wong, Charlotte M Deane

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  10. A SynB1-conjugated antibody cocktail crosses the blood-brain barrier to produce a therapeutic effect on rabies.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  19. Trends in nanobody radiotheranostics.European journal of nuclear medicine and molecular imaging · 2025
    Review
  20. 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

4 authors.

Gemma L GordonOxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, United Kingdom.
Matthew I J RaybouldOxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, United Kingdom.
Ashley WongOxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, United Kingdom.
Charlotte M DeaneOxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To be viable therapeutics, antibodies must be tolerated by the human immune system. Rational approaches to reduce the risk of unwanted immunogenicity involve maximizing the 'humanness' of the candidate drug. However, despite the emergence of new discovery technologies, many of which start from entirely human gene fragments, most antibody therapeutics continue to be derived from non-human sources with concomitant humanization to increase their human compatibility. Early experimental humanization strategies that focus on CDR loop grafting onto human frameworks have been critical to the dominance of this discovery route but do not consider the context of each antibody sequence, impacting their success rate. Other challenges include the simultaneous optimization of other drug-like properties alongside humanness and the humanization of fundamentally non-human modalities such as nanobodies. Significant efforts have been made to develop

Indexed as

Single-Domain AntibodiesAnimalsAntibodiesComputational BiologyHumansAntibodiesSingle-Domain Antibodiesantibodycomputationalhumanizationhumannessnanobodytherapeutics

Identifiers

PMID38812514
PMCPMC11133524

What OpenQuestion holds

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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.