Article

Asymmetric Cross-Reactivity of Nuclear Receptors Reveals an Evolutionary Buffer Between Estrogen and Androgen Signaling

2025-12-21

Abstract excerpt

A comprehensive all-by-all receptor ligand affinity screen using Boltz-2, a deep learning framework for protein-ligand interaction prediction, reveals a previously unrecognized asymmetry in steroid hormone receptor binding. Using systematic in silico affinity prediction, we show that estradiol binds the androgen receptor with higher predicted affinity than testosterone and also displays strong affinity for multip...

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Literature Corpus work: 452419f6-0b89-531f-ae8a-c1d6660aae30
DOI: 10.64898/2025.12.18.695200

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