Evidence map›Paper›PMID 41727153›Full record

ArticlebioRxiv : the preprint server for biology2026

Sub-stoichiometric Degradation is Dispensable for Potent PROTACs: A Case Study for Irreversible Covalent BTK Degraders.

Ran Cheng, Hanfeng Lin, Xin Yu, Shrilekha Misra, Andrew D Mitchell, Jennifer A Woyach, Xiaoli Qi, Jin Wang

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

8 authors.

Ran ChengThe Verna and Marrs McLean Department of Biochemistry and Molecular Pharmacology, Baylor College of Medicine, Houston, Texas 77030, United States.
Hanfeng LinThe Verna and Marrs McLean Department of Biochemistry and Molecular Pharmacology, Baylor College of Medicine, Houston, Texas 77030, United States.
Xin YuThe Verna and Marrs McLean Department of Biochemistry and Molecular Pharmacology, Baylor College of Medicine, Houston, Texas 77030, United States.
Shrilekha MisraDivision of Hematology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States.
Andrew D MitchellDivision of Hematology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States.
Jennifer A WoyachDivision of Hematology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States.
Xiaoli QiThe Verna and Marrs McLean Department of Biochemistry and Molecular Pharmacology, Baylor College of Medicine, Houston, Texas 77030, United States.
Jin WangThe Verna and Marrs McLean Department of Biochemistry and Molecular Pharmacology, Baylor College of Medicine, Houston, Texas 77030, United States.ORCID 0000-0003-3625-7919

Funding

Reversible Covalent BTK Degraders as the Next Generation Targeted Therapy to Treat B-cell MalignanciesR01CA250503 · NCI · BAYLOR COLLEGE OF MEDICINE · PI WANG, JIN, WANG, MICHAEL · 2020 to 2024
$3.4M
NCI NIH HHS R01 CA250503
6 · The paper itself

Abstract

Proteolysis-targeting chimeras (PROTACs) represent a transformative therapeutic modality, yet the viability of covalent PROTACs remains debated, as irreversible binding seemingly contradicts the catalytic mechanism central to their function. Here, we develop and characterize PSIRC3, a highly potent covalent PROTAC for Bruton's tyrosine kinase (BTK) that addresses this ambiguity. PSIRC3 induces potent and selective BTK degradation with a sub-nanomolar DC

Identifiers

PMID41727153
PMCPMC12918932

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.