Evidence map›Paper›PMID 40832550›Full record

ArticleACS medicinal chemistry letters2025

NMR-Based Fragment Screen of the von Hippel-Lindau Elongin C&B Complex.

Kangsa Amporndanai, Jade M Katinas, Ashima Chopra, Olumide Kayode, Anish K Vadukoot, Alex G Waterson, Stephen W Fesik

Abstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Kangsa AmporndanaiDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee 37232-0146, United States.ORCID https://orcid.org/0000-0001-8527-9394
Jade M KatinasDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee 37232-0146, United States.
Ashima ChopraDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee 37232-0146, United States.ORCID https://orcid.org/0000-0001-7867-1507
Olumide KayodeDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee 37232-0146, United States.
Anish K VadukootDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee 37232-0146, United States.
Alex G WatersonDepartment of Pharmacology, Vanderbilt University School of Medicine, Nashville, Tennessee 37232-6600, United States.ORCID https://orcid.org/0000-0002-0153-5723
Stephen W FesikDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee 37232-0146, United States.ORCID https://orcid.org/0000-0001-5957-6192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

von Hippel-Lindau (VHL) is an E3 ligase that has been widely exploited for the development of PROTACs to induce degradation of disease-associated target proteins. Nearly all VHL-recruiting PROTACs contain a hydroxyproline moiety based on the endogenous peptide substrate that occupies the HIF1α-binding site of VHL. However, the development of orally bioavailable PROTACs with hydroxyproline-based VHL ligands remains a significant hurdle, due to both the hydroxyproline and the peptidic nature of the VHL ligand. Here, we describe an NMR-based fragment screen against the VHL-Elongin C-Elongin B (VCB) complex. Several hits were shown by X-ray crystallography to bind to the HIF1α active site in VHL of the VCB complex, which opens the possibility for the discovery of new nonhydroxyproline-based VHL ligands for use in VHL-recruiting PROTACs.

Indexed as

E3 ligasefragment-based screenNMR screenPROTACVHL

Identifiers

PMID40832550
PMCPMC12358976

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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.