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Record W4284895719 · doi:10.1016/j.crchbi.2022.100034

IPP/CNRS-A017: A chemical probe for human dihydroorotate dehydrogenase (hDHODH)

2022· article· en· W4284895719 on OpenAlexfundno aff
Andreas Krämer, Amelie Tjaden, Benardina Ndreshkjana, Claudia Tredup, Henner F. Farin, Stefan Knapp, Yves L. Janin, Susanne Müller

Bibliographic record

VenueCurrent Research in Chemical Biology · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiochemical and Molecular Research
Canadian institutionsnot available
FundersInnovative Medicines InitiativeKungliga Tekniska HögskolanHessisches Ministerium für Wissenschaft und KunstEuropean CommissionOntario Institute for Cancer ResearchEuropean Federation of Pharmaceutical Industries and AssociationsMcGill University
KeywordsDihydroorotate dehydrogenaseKinomeHEK 293 cellsChemistryPyrimidineBiochemistryBiologyReceptorKinase

Abstract

fetched live from OpenAlex

Human Dihydroorotate dehydrogenase, which catalyses de novo pyrimidine biosynthesis, is an emerging target for treatment of infectious diseases, arthritis and cancer. In order to provide a chemical tool studying this key enzyme, we characterized IPP/CNRS-A017, a highly potent, selective, and cell-active inhibitor of the human Dihydroorotate dehydrogenase (hDHODH). In this report, we describe the crystal structure of IPP/CNRS-A017 in complex with hDHODH, providing inside into its binding mode. Additionally, further off-target profiling in a kinome-wide screen and a G-Protein-Coupled Receptors screen as well as investigated cell viability effects in three different cell lines (HEK293T, U2OS, human fibroblasts) confirmed that IPP/CNRS-A017 is a highly selective chemical tool to study the biology of hDHODH. Specific sensitivity to IPP/CNRS-A017 was observed in patient-derived colorectal cancer organoids.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.125
GPT teacher head0.457
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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