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Record W4403170641 · doi:10.1101/2024.10.04.616592

Suppression of NRF2-dependent cancer growth by a covalent allosteric molecular glue

2024· preprint· en· W4403170641 on OpenAlexaff
Nilotpal Roy, Tine Wyseure, I‐Chung Lo, Justine Metzger, Christie L. Eissler, Steffen M. Bernard, Ilah Bok, Aaron N. Snead, Albert E. Parker, Jason C. Green, Jordon M. Inloes, Sarah Jacinto, Brent M. Kuenzi, Benjamin D. Horning, Noah Ibrahim, Stephanie Grabow, Harit Panda, Dhaval P. Bhatt, Soma Saeidi, Paul Zolkind, Zoe Rush, Kathleen R. Negri, Heather N. Williams, Eric Walton, Martha K. Pastuszka, J. Sigler, Eileen Tran, Kenneth Hee, Joseph S. McLaughlin, Géza Ambrus-Aikelin, Jonathan Pollock, Robert T. Abraham, Todd M. Kinsella, Gabriel M. Simon, Michael B. Major, David S. Weinstein, Matthew P. Patricelli

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldChemistry
TopicFerrocene Chemistry and Applications
Canadian institutionsSciex (Canada)
Fundersnot available
KeywordsAllosteric regulationGLUECovalent bondChemistryCancerBiophysicsBiochemistryBiologyEnzymeGeneticsMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The NRF2 transcription factor is constitutively active in cancer where it functions to maintain oxidative homeostasis and reprogram cellular metabolism. NRF2-active tumors exhibit NRF2-dependency and resistance to chemo/radiotherapy. Here we characterize VVD-065, a first-in-class NRF2 inhibitor that acts via an unprecedented allosteric molecular glue mechanism. In the absence of stress or mutation, NRF2 is rapidly degraded by the KEAP1-CUL3 ubiquitin-ligase complex. VVD-065 specifically and covalently engages C151 on KEAP1, which in turn promotes KEAP1-CUL3 complex formation, leading to enhancement of NRF2 degradation. Previously reported C151-directed compounds decrease KEAP1-CUL3 interactions and stabilize NRF2, thus establishing KEAP1_C151 as a tunable regulator of the KEAP1-CUL3 complex and NRF2 stability. VVD-065 inhibited NRF2-dependent tumor growth and sensitized cancers to chemo/radiotherapy, supporting an open Phase I clinical trial ( NCT05954312 ).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.229
Teacher spread0.220 · 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 teacher head, not a consensus.

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

Citations12
Published2024
Admission routes1
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)Same topicFerrocene Chemistry and ApplicationsFrench-language works237,207