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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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END-102: Computational Design and Multi-Framework Safety Evaluation of a Non-Aromatic Progesterone Receptor B Selective Modulator for Endometriosis

Authors: Ahaneku, Oguike;

END-102: Computational Design and Multi-Framework Safety Evaluation of a Non-Aromatic Progesterone Receptor B Selective Modulator for Endometriosis

Abstract

A non-aromatic prodrug candidate for endometriosis, designated END-102, is reported. The design eliminates aromatic rings entirely, replacing the conventional heterocyclic scaffold with a trans-4-aminocyclohexane core bearing a urea linker, an aminodiol pharmacophore arm, and an oxetane hydrogen-bond acceptor. The prodrug form (END-102b) is activated in vivo via sequential cytochrome P450 3A4-mediated O-demethylation and N-demethylation to the active species (END-102a). Computational binding calculations predict a dissociation constant of 17 nM at the progesterone receptor B (PR-B) ligand-binding domain, with 400-fold selectivity over aromatase (CYP19A1). Multi-framework safety profiling was conducted using the Cascade Interaction Liability Model (CELM), the Human Analogue 100-slot virtual Phase I simulator, and the Human Gut Model v1.0 72-slot gastrointestinal compartment simulator. The active form achieves a CELM score of 0.00 (class: SAFE). Virtual Phase I assigns a verdict of PROMISING with a Boltzmann selectivity of 83,226-fold and zero chain reactions across 100 biological slots. Gut model analysis identifies PEPT1/PEPT2-mediated uptake as the primary absorption mechanism. No mucosal toxicity, microbiome, or reactive metabolite flags are detected. END-102 represents a structurally clean, pharmacologically selective lead candidate appropriate for advancement to in vitro validation.

Keywords

Endometriosis, Computational drug design, Progesterone receptor B, Non-aromatic prodrug, Solvation trap

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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