Evidence map›Paper›PMID 40042626›Full record

ArticlemAbs2025

PROPERMAB: an integrative framework for

Bian Li, Shukun Luo, Wenhua Wang, Jiahui Xu, Dingjiang Liu, Mohammed Shameem, John Mattila, Matthew C Franklin, Peter G Hawkins, Gurinder S Atwal

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Antibody-drug conjugate engineering: from design to efficacy and safety.Signal transduction and targeted therapy · 2026
    Review
  7. Article
  8. Review
  9. 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

10 authors.

Bian LiTherapeutic Proteins, Regeneron Pharmaceuticals, Inc, Tarrytown, NY, USA.
Shukun LuoFormulation Development, Regeneron Pharmaceuticals, Inc, Tarrytown, NY, USA.
Wenhua WangFormulation Development, Regeneron Pharmaceuticals, Inc, Tarrytown, NY, USA.
Jiahui XuFormulation Development, Regeneron Pharmaceuticals, Inc, Tarrytown, NY, USA.
Dingjiang LiuFormulation Development, Regeneron Pharmaceuticals, Inc, Tarrytown, NY, USA.
Mohammed ShameemFormulation Development, Regeneron Pharmaceuticals, Inc, Tarrytown, NY, USA.
John MattilaPreclinical Manufacturing and Process Development, Regeneron Pharmaceuticals, Inc, Tarrytown, NY, USA.
Matthew C FranklinTherapeutic Proteins, Regeneron Pharmaceuticals, Inc, Tarrytown, NY, USA.ORCID 0000-0002-1482-0136
Peter G HawkinsMolecular Profiling and Data Science, Regeneron Pharmaceuticals, Inc, Tarrytown, NY, USA.
Gurinder S AtwalMolecular Profiling and Data Science, Regeneron Pharmaceuticals, Inc, Tarrytown, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selection of lead therapeutic molecules is often driven predominantly by pharmacological efficacy and safety. Candidate developability, such as biophysical properties that affect the formulation of the molecule into a product, is usually evaluated only toward the end of the drug development pipeline. The ability to evaluate developability properties early in the process of antibody therapeutic development could accelerate the timeline from discovery to clinic and save considerable resources.

Indexed as

Antibodies, MonoclonalMachine LearningComputer SimulationHumansAntibodies, MonoclonalAntibody developabilityfeature engineeringin silico predictionmachine learning

Identifiers

PMID40042626
PMCPMC11901398

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.