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Terpene-Based Thiazole Hydrazines as Negative Allosteric Modulators of MRGPRX4: In Vitro Evaluation and Binding Site Analysis

2025· article· en· W4413226870 on OpenAlexaff
Saqlain Haider, Manal Alhusban, Pankaj Pandey, S. CH. V. Appa Rao Annam, Robert B. Laprairie, Amar G. Chittiboyina

Bibliographic record

VenueACS Medicinal Chemistry Letters · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsUniversity of Saskatchewan
FundersAgricultural Research Service
KeywordsAllosteric regulationThiazoleTerpeneIn vitroBinding siteChemistryStereochemistryComputational biologyBiochemistryCombinatorial chemistryPharmacologyBiologyEnzyme

Abstract

fetched live from OpenAlex

The human MAS-related G-protein-coupled receptors (MRGPRs) represent a promising therapeutic target for managing chronic itch and pain. Among them, MRGPRX4 is activated by bile acids in dorsal root ganglia (DRG) neurons and contributes to the cholestatic itch. Here, we report the design, synthesis, and in vitro evaluation of a focused library of functionalized terpene-based thiazole hydrazines targeting MRGPRX receptors. Functional assays identified two compounds, 1C and 3G, as negative allosteric modulators (NAMs) of MRGPRX4 with IC 50 values of 337 nM and 15.5 μM, respectively, and showed weak activity at MRGPRX2. Computational analysis suggested a putative NAM binding site adjacent to the orthosteric pocket involving key interactions with residues H92 3.22, K96 3.26, and R159 4.62 . The resulting site overlaps with the receptor activity-modifying protein 2 (RAMP2) interaction region, where RAMP2 antagonizes MRGPRX4 as a NAM. These findings provide a foundation for developing selective MRGPRX4 NAMs as novel therapeutic agents for chronic itch and pain.

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 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 score0.635

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.258
Teacher spread0.253 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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