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Updated: Nov 5, 2025

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Published on: May 9, 2025
Multiple Computational Approaches for Predicting Drug Interactions with Human Equilibrative Nucleoside Transporter 1
Siennah R Miller1, Thomas R Lane1, Kimberley M Zorn1
1College of Pharmacy, Department of Pharmacology & Toxicology (S.R.M., N.J.C.), and College of Medicine, Department of Physiology (S.H.W.), University of Arizona, Tucson, Arizona; and Collaborations Pharmaceuticals, Inc., Raleigh, North Carolina (T.R.L., K.M.Z., S.E.).
Computational models of equilibrative nucleoside transporters (ENTs) predict drug interactions. Mizoribine and ribavirin are ENT substrates, while darunavir is an inhibitor, aiding new drug development.
Area of Science:
- Pharmacology
- Computational Chemistry
- Drug Discovery
Background:
- Equilibrative nucleoside transporters (ENTs) are crucial for nucleoside analog drug pharmacokinetics.
- Understanding ENT interactions facilitates the development of chemotherapeutics and antivirals, especially for sanctuary sites like the male genital tract.
Purpose of the Study:
- To create three-dimensional pharmacophores for ENT1 and ENT2 substrates and inhibitors.
- To computationally predict and experimentally validate drug interactions with human ENTs.
Main Methods:
- Curated Kt and IC50 data from literature to build 3D pharmacophores for ENT1 and ENT2.
- In vitro validation using NBMPR to assess the impact on mizoribine and ribavirin accumulation in ENT1 and ENT2 cells.
- Evaluated darunavir's interaction with ENTs, assessing NBMPR's influence on its cellular accumulation.
Main Results:
- Distinct substrate pharmacophores for ENT1 and ENT2 were identified, with partial overlap in hydrogen bond donors.
- Inhibitor pharmacophores predominantly featured hydrogen bond acceptors.
- Mizoribine and ribavirin were confirmed as ENT substrates, with NBMPR significantly decreasing their cellular accumulation.
- Darunavir acted as an ENT inhibitor, with NBMPR not significantly affecting its accumulation, confirming limited interaction.
Conclusions:
- Developed and validated computational models for human ENTs (ENT1 and ENT2) to predict drug interactions.
- These models can guide compound selection in drug discovery, reducing development time and costs.
- Predicting ENT substrates aids in identifying drugs capable of penetrating tissues expressing these transporters.
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