Lidiya Stavitskaya

The paper investigates the slow dissociation of nitazenes from the μ-opioid receptor, showing it contributes to overdose reversal challenges and provides structural insights into the mechanism.

This study investigates how membrane permeability affects the potency of fentanyl and isotonitazene, finding that fentanyl's extreme potency may be due to its ability to accumulate in membranes and repartition to bind receptors.

This paper uses computational methods to model how nitazene derivatives bind to the mu-opioid receptor, identifying key binding modes and interactions.

The paper develops machine learning models to classify intrinsic activities of ligands at the human mu-opioid receptor using molecular descriptors and SMILES strings, achieving high accuracy even with limited data.