Evidence map›Paper›PMID 33928226›Full record

ReviewAntibody therapeutics2020

Sagacity in antibody humanization for therapeutics, diagnostics and research purposes: considerations of antibody elements and their roles.

Wei-Li Ling, Wai-Heng Lua, Samuel Ken-En Gan

Open access · goldAbstract readReview
In one paragraph

Review in Antibody therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 34 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

3 authors at 2 institutions in 1 country.

Wei-Li LingAntibody & Product Development Lab, Bioinformatics Institute, Agency for Science, Technology and Research (ASTAR), 30 Biopolis Street, #07-01 Matrix, Singapore 138671.
Wai-Heng LuaAntibody & Product Development Lab, Bioinformatics Institute, Agency for Science, Technology and Research (ASTAR), 30 Biopolis Street, #07-01 Matrix, Singapore 138671.
Samuel Ken-En GanAntibody & Product Development Lab, Bioinformatics Institute, Agency for Science, Technology and Research (ASTAR), 30 Biopolis Street, #07-01 Matrix, Singapore 138671.
Bioinformatics Institute · SGExperimental Drug Development Centre · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The humanization of antibodies for therapeutics is a critical process that can determine the success of antibody drug development. However, the science underpinning this process remains elusive with different laboratories having very different methods. Well-funded laboratories can afford automated high-throughput screening methods to derive their best binder utilizing a very expensive initial set of equipment affordable only to a few. Often within these high-throughput processes, only standard key parameters, such as production, binding and aggregation are analyzed. Given the lack of suitable animal models, it is only at clinical trials that immunogenicity and allergy adverse effects are detected through anti-human antibodies as per FDA guidelines. While some occurrences that slip through can be mitigated by additional desensitization protocols, such adverse reactions to grafted humanized antibodies can be prevented at the humanization step. Considerations such as better antibody localization, avoidance of unspecific interactions to superantigens and the tailoring of antibody dependent triggering of immune responses, the antibody persistence on cells, can all be preemptively considered through a holistic sagacious approach, allowing for better outcomes in therapy and for research and diagnostic purposes.

Indexed as

antibody humanizationconstant isotypesuper antigen bindingtherapeutics antibodiesVH/VL families

Identifiers

PMID33928226
PMCPMC7990220
OpenAlexW3016505220

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.