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Record W4387380166 · doi:10.1210/jendso/bvad114.1761

SAT023 The Role Of Cysteine Residues In The Binding Of Inhibitors Of The N-Terminal Domain Of The Androgen Receptor

2023· article· en· W4387380166 on OpenAlexaff
Lauren F. Deneault, Amy H. Tien, Adriana Banuelos, Teresa Tam, Raymond J. Andersen, Marianne D. Sadar

Bibliographic record

VenueJournal of the Endocrine Society · 2023
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCysteineIodoacetamideAndrogen receptorChemistryBinding siteDocking (animal)BiochemistryProstate cancerBiologyCancerMedicineGeneticsEnzyme

Abstract

fetched live from OpenAlex

Abstract Disclosure: L. Deneault: None. A. Tien: None. A. Banuelos: Stock Owner; Self; ESSA. T. Tam: None. R. Andersen: Stock Owner; Self; ESSA. M.D. Sadar: Stock Owner; Self; ESSA. Background: Therapies for prostate cancer (PC) involve pharmaceutical castration by targeting the androgen receptor (AR) ligand-binding domain (LBD). These therapies are not curative with the malignancy progressing to castration-resistant PC (CRPC). Most CRPC remains driven by AR through multiple resistances, e.g. constitutively active AR splice variants that lack LBD (AR-Vs), or gain-of-function mutations in LBD. This has led to clinical development of EPI analogues (“EPI”) which target the AR N-terminal domain (NTD) to block the transcriptional activities of, AR-Vs and mutated ARs. The EPI-binding pocket involves region 341-446 amino acid residues of the NTD. AR NTD is enriched in cysteine residues with C404 suggested to be important in the binding mechanism of EPI. Free cysteine residues are able interact forming disulfide bonds, which are important in intra- and intermolecular protein-protein interactions. Here we begin to elucidate the role of cysteines in the inhibition of AR activity by EPI. Methods: Binding assays assess the role of cysteines in the covalent binding mechanism used a fluorescein-labelled EPI with fragments of recombinant AR-NTD (rNTD) with or without the addition of iodoacetamide (caps cysteines). Protein-protein interactions requiring disulfide bonds with AR examined by non-reducing SDS-PAGE and diagonal SDS-PAGE of cells treated with inhibitors. A role of specific cysteines in the activity of EPI to block AR transcriptional activity was assessed by cysteine mutants using a reporter gene construct driven by AR. Results: Capping cysteine residues on rNTD with iodoacetamide reduced the amount of covalent binding of EPI. This data suggests that cysteines are essential for covalent binding of EPI to AR-NTD. EPI bound preferentially to the oxidized form of rNTD suggesting the importance of disulfide bridges. Diagonal SDS-PAGE revealed differential alterations in intramolecular and intermolecular disulfide bonds in response to EPI compared to AR LBD inhibitors. These gels also revealed unique differences in protein-protein interactions with AR depending on the inhibitor. AR-driven reporter gene assays revealed mutations of cysteine residues in the AR- NTD did not adversely affect AR transcriptional activity in response to androgen. Conclusions: Although cysteines residing in the AR-NTD were required for covalent binding of EPI, mutation of C404 in the EPI-binding site was not essential for the efficacy of EPI to block AR transcriptional activity. There were differential patterns in protein-protein interactions with AR depending upon which domain the inhibitor targeted. Our future goal is to identify these unique proteins to provide insight into the mechanisms and develop more potent and more specific therapeutics for the treatment of CRPC. Presentation: Saturday, June 17, 2023

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.299
Threshold uncertainty score0.233

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.303
Teacher spread0.286 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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