Evidence map›Paper›PMID 40223272›Full record

ArticlemAbs2025

The physiological limits of bispecific monoclonal antibody tissue targeting specificity.

Armin Sepp, Felix Stader, Abdallah Derbalah, Cong Liu, Adriana Zyla, Iain Gardner, Masoud Jamei

Abstract read
In one paragraph

Article in mAbs, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Peptide Therapeutics for Solid Tumors: Functional Classes, AI-Enhanced Discovery and Clinical Advances.Journal of peptide science : an official publication of the European Peptide Society · 2026
    Review
  2. Review
  3. Review
  4. Article
  5. Advancing Cancer-Targeted Nanotherapies with Tumor Homing Peptides.ACS pharmacology & translational science · 2025
    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

7 authors.

Armin SeppCertara Predictive Technologies division, Certara UK Ltd, Sheffield, UK.ORCID 0000-0002-9276-5814
Felix StaderCertara Predictive Technologies division, Certara UK Ltd, Sheffield, UK.
Abdallah DerbalahCertara Predictive Technologies division, Certara UK Ltd, Sheffield, UK.
Cong LiuCertara Predictive Technologies division, Certara UK Ltd, Sheffield, UK.
Adriana ZylaCertara Predictive Technologies division, Certara UK Ltd, Sheffield, UK.
Iain GardnerCertara Predictive Technologies division, Certara UK Ltd, Sheffield, UK.
Masoud JameiCertara Predictive Technologies division, Certara UK Ltd, Sheffield, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bispecific monoclonal antibodies (bsmAbs) are expected to provide targeted drug delivery that overcomes the dose-limiting toxicities often accompanying antibody-drug conjugates (ADC) in clinical practice. Much attention has been paid in the past to target selection, mAb affinities and the payload linker design, but challenges remain. Here, we demonstrate, by physiologically based pharmacokinetic (PBPK)

Indexed as

Antibodies, BispecificAntibodies, MonoclonalDrug Delivery SystemsNeoplasmsAnimalsComputer SimulationErb-b2 Receptor Tyrosine KinasesErbB ReceptorsHumansImmunoconjugatesModels, BiologicalTissue DistributionAntibodies, BispecificAntibodies, MonoclonalERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesErbB ReceptorsImmunoconjugatesantibody-drug conjugatebispecific antibodyEGFRHER2Monoclonal antibodyphysiologically-based pharmacokinetics

Identifiers

PMID40223272
PMCPMC12005452

What Socratic 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 Socratic graph.