Evidence map›Paper›PMID 42443212›Full record

ArticleNature communications2026

A quantitative approach for defining the degradability landscape of protein degraders.

Wei Du, Lamberto De Boni, Benjamin David Hopkins, Olivier Elemento

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wei DuIndependent Researcher, Beijing, China.
Lamberto De BoniEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Benjamin David HopkinsEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0002-7970-6430
Olivier ElementoEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA. ole2001@med.cornell.edu.ORCID http://orcid.org/0000-0002-8061-9617

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted protein degradation (TPD) is an emerging therapeutic modality, but how multiple factors jointly determine degradation efficacy remains poorly understood. Here we present a quantitative framework for modeling the cellular mechanism of action of TPD, allowing for prediction of cellular efficacy with practically obtainable parameters. Applying this model to published data on 41 targets reveals a common range of degradation rate between 0.1 and 10 min

Indexed as

ProteinsProteolysisHalf-LifeHumansModels, BiologicalProtein Kinase InhibitorsUbiquitin-Protein LigasesProtein Kinase InhibitorsProteinsUbiquitin-Protein Ligases

Identifiers

PMID42443212
PMCPMC13487244

What OpenQuestion holds

Textmetadata
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.