ArticleACS medicinal chemistry letters2024
Discovery of Alternative Binding Poses through Fragment-Based Identification of DHODH Inhibitors.
Article in ACS medicinal chemistry letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
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Who cites it
3 citing papers in PubMed.
- Machine learning-assisted screening of natural product database for the identification of novel chalcone-based derivative as a potent DHODH inhibitor in cancer therapy.Discover oncology · 2026Article
- In-silico study of the bioactive compounds of Blighia sapida koenig revealed a novel Plasmodium falciparum dihydroorotate dehydrogenase inhibitor for malaria.Scientific reports · 2026Article
- A phase 1, first-in-human, dose-escalation study of JNJ-74856665 (dihydroorotate dehydrogenase inhibitor) alone or in combination in patients with AML or MDS.British journal of haematology · 2025Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dihydroorotate dehydrogenase (DHODH) is a mitochondrial enzyme that affects many aspects essential to cell proliferation and survival. Recently, DHODH has been identified as a potential target for acute myeloid leukemia therapy. Herein, we describe the identification of potent DHODH inhibitors through a scaffold hopping approach emanating from a fragment screen followed by structure-based drug design to further improve the overall profile and reveal an unexpected novel binding mode. Additionally, these compounds had low P-gp efflux ratios, allowing for applications where exposure to the brain would be required.
Identifiers
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Registered trials
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