Evidence map›Paper›PMID 29129718›Full record

ArticleCell chemical biology2018

Lessons in PROTAC Design from Selective Degradation with a Promiscuous Warhead.

Daniel P Bondeson, Blake E Smith, George M Burslem, Alexandru D Buhimschi, John Hines, Saul Jaime-Figueroa, Jing Wang, Brian D Hamman, Alexey Ishchenko, Craig M Crews

Open access · bronzeAbstract read
In one paragraph

Article in Cell chemical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 425 papers.

0numbers the graph read from it
0cells of the map it votes in
425citing papers in PubMed
25.5field-weighted citation impact, top 1% of its field
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

425 citing papers in PubMed, 876 citations in OpenAlex.

  1. PROTACs in cancer therapy: targeted degradation of GPX4, PARP and epigenetic regulators.Journal of enzyme inhibition and medicinal chemistry · 2026
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365 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Daniel P BondesonDepartment of Molecular, Cellular, and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT 06511, USA.
Blake E SmithDepartment of Molecular, Cellular, and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT 06511, USA.
George M BurslemDepartment of Molecular, Cellular, and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT 06511, USA.
Alexandru D BuhimschiDepartment of Molecular, Cellular, and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT 06511, USA.
John HinesDepartment of Molecular, Cellular, and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT 06511, USA.
Saul Jaime-FigueroaDepartment of Molecular, Cellular, and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT 06511, USA.
Jing WangArvinas, LLC, 5 Science Park, New Haven, CT 06511, USA.
Brian D HammanArvinas, LLC, 5 Science Park, New Haven, CT 06511, USA.
Alexey IshchenkoArvinas, LLC, 5 Science Park, New Haven, CT 06511, USA.
Craig M CrewsDepartment of Molecular, Cellular, and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT 06511, USA; Departments of Chemistry and Pharmacology, Yale University, New Haven, CT, USA. Electronic address: craig.crews@yale.edu.
Yale University · USArvinas (United States) · US

Funding

Yale SPORE in Lung Cancer (YSILC): The Biology and Personalized Treatment of Lung CancerP50CA196530 · NCI · YALE UNIVERSITY · PI KATERINA Abigail POLITI · 2015 to 2026
$31.1M
Skill Development for Diverse Scientific Careers: A New Course Predoctoral Program in Cellular and Molecular BiologyT32GM007223 · NIGMS · YALE UNIVERSITY · PI BASERGA, SUSAN J · 1985 to 2019
$31.0M
Inducing Proximity: An Emerging Paradigm for New Therapeutic ModalitiesR35CA197589 · NCI · YALE UNIVERSITY · PI CRAIG M CREWS · 2015 to 2026
$10.7M
Investigating targeted degradation of c-Met to realize more effective cancer treatmentR50CA211252 · NCI · YALE UNIVERSITY · PI HINES, JOHN FRANCIS · 2016 to 2020
$612k
Investigating degradation as a therapeutic strategy against the Pseudo-kinase KSRF99CA212229 · NCI · YALE UNIVERSITY · PI BONDESON, DANIEL · 2016 to 2017
$89k
NCI NIH HHS F99 CA212229NCI NIH HHS P50 CA196530NCI NIH HHS R35 CA197589NCI NIH HHS R50 CA211252NIGMS NIH HHS T32 GM007223
6 · The paper itself

Abstract

Inhibiting protein function selectively is a major goal of modern drug discovery. Here, we report a previously understudied benefit of small molecule proteolysis-targeting chimeras (PROTACs) that recruit E3 ubiquitin ligases to target proteins for their ubiquitination and subsequent proteasome-mediated degradation. Using promiscuous CRBN- and VHL-recruiting PROTACs that bind >50 kinases, we show that only a subset of bound targets is degraded. The basis of this selectivity relies on protein-protein interactions between the E3 ubiquitin ligase and the target protein, as illustrated by engaged proteins that are not degraded as a result of unstable ternary complexes with PROTAC-recruited E3 ligases. In contrast, weak PROTAC:target protein affinity can be stabilized by high-affinity target:PROTAC:ligase trimer interactions, leading to efficient degradation. This study highlights design guidelines for generating potent PROTACs as well as possibilities for degrading undruggable proteins immune to traditional small-molecule inhibitors.

Indexed as

Drug DesignHumansProteasome Endopeptidase ComplexProtein Kinase InhibitorsProteolysisSmall Molecule LibrariesUbiquitinationUbiquitin-Protein LigasesProteasome Endopeptidase ComplexProtein Kinase InhibitorsSmall Molecule LibrariesUbiquitin-Protein Ligaseschemical biologyCRBNMAPK/p38PROTACsprotein degradationprotein-protein interactionsproteomicsselective degradationternary complexVHL

Identifiers

PMID29129718
PMCPMC5777153
OpenAlexW2767856718

What OpenQuestion holds

Textmetadata
LicenceTDM
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.