Evidence map›Paper›PMID 39674918›Full record

ReviewmAbs

Facilitating high throughput bispecific antibody production and potential applications within biopharmaceutical discovery workflows.

Caitlin Fawcett, Joseph R Tickle, Charlotte H Coles

Abstract readReview
In one paragraph

Review in mAbs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. 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

3 authors.

Caitlin FawcettLarge Molecule Discovery, GSK, GSK Medicines Research Centre, Stevenage, UK.ORCID 0009-0001-0275-141X
Joseph R TickleLarge Molecule Discovery, GSK, GSK Medicines Research Centre, Stevenage, UK.ORCID 0000-0003-2089-274X
Charlotte H ColesLarge Molecule Discovery, GSK, GSK Medicines Research Centre, Stevenage, UK.ORCID 0000-0003-4525-7144

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major driver for the recent investment surge in bispecific antibody (bsAb) platforms and products is the multitude of distinct mechanisms of action that bsAbs offer compared to a combination of two monoclonal antibodies. Four bsAb products were granted first regulatory approvals in the US or EU during 2023 and the biopharmaceutical industry pipeline is brimming with bsAb candidates across a broad range of therapeutic applications. In previously reported bsAb discovery campaigns, following a hypothesis-based choice of two specific target proteins, selections and screening activities have often been performed in mono-specific formats. The conversion to bispecific modalities has usually been positioned toward the end of the discovery process and has involved small numbers of lead molecules, largely due to challenges in expressing, purifying, and analyzing large numbers of bsAbs. In this review, we discuss emerging strategies to facilitate the production of expanded bsAb panels, focusing particularly upon combinatorial methods to generate bsAb matrices. Such technologies will enable screening in. bispecific formats at earlier stages of discovery campaigns, not only widening the accessible protein space to maximize chances of success, but also advancing empirical bi-target validation activities to assess initial target selection hypotheses.

Indexed as

Antibodies, BispecificHigh-Throughput Screening AssaysAnimalsDrug DiscoveryHumansWorkflowAntibodies, BispecificAntibody engineeringbiopharmaceutical drug discoveryBispecific antibodychemical conjugationmass spectrometry

Identifiers

PMID39674918
PMCPMC10883111

What OpenQuestion holds

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Registered trials

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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.