Evidence map›Paper›PMID 30788082›Full record

ReviewComputational and structural biotechnology journal2019

Bivalent Ligands for Protein Degradation in Drug Discovery.

Marcel Scheepstra, Koen F W Hekking, Luc van Hijfte, Rutger H A Folmer

Open access · goldAbstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 114 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Targeting ubiquitination in disease and therapy.Signal transduction and targeted therapy · 2025
    Review
  5. Review
  6. Article
  7. Chemoproteomics-EnabledJournal of the American Chemical Society · 2025
    Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Recent Advances in PROTACs for Drug Targeted Protein Research.International journal of molecular sciences · 2022
    Review
  15. Review
  16. Article
  17. Review
  18. PROTAC: targeted drug strategy. Principles and limitations.Russian chemical bulletin = Izvestiia Akademii nauk. Seriia khimicheskaia · 2022
    Review
  19. Review
  20. Targeting transcription cycles in cancer.Nature reviews. Cancer · 2022
    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

4 authors.

Marcel ScheepstraMercachem BV, Kerkenbos 1013, 6546 BB, Nijmegen, the Netherlands.
Koen F W HekkingMercachem BV, Kerkenbos 1013, 6546 BB, Nijmegen, the Netherlands.
Luc van HijfteMercachem BV, Kerkenbos 1013, 6546 BB, Nijmegen, the Netherlands.
Rutger H A FolmerMercachem BV, Kerkenbos 1013, 6546 BB, Nijmegen, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeting the "undruggable" proteome remains one of the big challenges in drug discovery. Recent innovations in the field of targeted protein degradation and manipulation of the ubiquitin-proteasome system open up new therapeutic approaches for disorders that cannot be targeted with conventional inhibitor paradigms. Proteolysis targeting chimeras (PROTACs) are bivalent ligands in which a compound that binds to the protein target of interest is connected to a second molecule that binds an E3 ligase via a linker. The E3 protein is usually either Cereblon or Von Hippel-Lindau. Several examples of selective PROTAC molecules with potent effect in cells and in vivo models have been reported. The degradation of specific proteins via these bivalent molecules is already allowing for the study of biochemical pathways and cell biology with more specificity than was possible with inhibitor compounds. In this review, we provide a comprehensive overview of recent developments in the field of small molecule mediated protein degradation, including transcription factors, kinases and nuclear receptors. We discuss the potential benefits of protein degradation over inhibition as well as the challenges that need to be overcome.

Indexed as

ABCB1, ATP-binding cassette sub-family B member 1AD, Alzheimer's diseaseAHR, aryl hydrogen receptorALK, anaplastic lymphoma kinaseAβ, amyloid-βBcl6, B-cell lymphoma 6BET, bromodomain and extra-terminalBivalent ligandBrd4, bromodomain 4BTK, Bruton's tyrosine kinaseCDK9, cyclin dependent kinase 9ChimeracIAP1, cellular inhibitor of apoptosis proteinCK2, Casein kinase 2CLIPTAC, click-formed proteolysis targeting chimeraCRBN, CereblonDC50, the compound concentration that results in 50% target protein degradationDegraderDHODH, Dihydroorotate dehydrogenaseERK1, extracellular signal-regulated kinase 1ERRα, estrogen-related receptor alphaERα, estrogen receptor alphaEZH2, enhancer of zeste homolog 2FLT3, FMS-like tyrosine kinase-3FRS2, fibroblast growth factor receptor substrate 2GCN5, general control nonderepressible 5GPCR, G-protein coupled receptorGST, glutathione S-transferaseHDAC, histone deacetylaseHTS, high-throughput screeningMDM2, mouse double-minute 2 homologMetAP-2, methionine aminopeptidase-2PCAF, P300/CBP-associated factorPEG, polyethylene glycolPI3K, phosphatidylinositol-3-kinasePLK-1, polo-like kinase 1POI, protein of interestPROTACPROTAC, proteolysis targeting chimerasProteasomeProtein degradationRAR, retinoic acid receptorRIPK2, receptor-interacting serine/threonine-protein kinase 2RTK, receptor tyrosine kinaseSARM, selective androgen receptor modulatorSNIPER, specific and non-genetic IAP-dependent protein eraserTBK1, TANK-Binding kinase 1TRIM24, tripartite motif-containing 24 (also known as TIF1α)VHL, Von Hippel-Lindau

Identifiers

PMID30788082
PMCPMC6369262
OpenAlexW2911521051

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.