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Classifying Effluxable Versus Non-Effluxable Compounds Using a Permeability Threshold Based on Fundamental Energy

Soné Kotze1, Kai-Uwe Goss1,2, Andrea Ebert1

  • 1Department of Computational Biology and Chemistry, Helmholtz Centre for Environmental Research (UFZ), Permoserstraße 15, 04318 Leipzig, Germany.

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|November 27, 2025
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Summary
This summary is machine-generated.

A new passive membrane permeability (Pm) threshold predicts active efflux in drug development. Compounds exceeding this energy-based limit are unlikely to be actively transported, aiding early drug discovery.

Keywords:
MDCKP-glycoproteinactive transportefflux ratioenergy limitpassive permeability

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Area of Science:

  • Pharmacokinetics and Drug Metabolism
  • Cellular Biology
  • Computational Chemistry

Background:

  • Predicting active transport is vital for drug development.
  • Cellular energy limitations influence compound transport.
  • Existing methods often rely on empirical observations.

Purpose of the Study:

  • To establish a mechanistic threshold for predicting active efflux based on cellular energy constraints.
  • To identify compounds unlikely to undergo active efflux.
  • To provide a practical tool for early drug discovery.

Main Methods:

  • Analysis of literature-reported efflux ratios (ERs) in MDCKII cells.
  • Experimental determination of passive membrane permeability (Pm) values.
  • Concentration-dependent measurements for borderline compounds.
  • Development of a threshold: Pm × Cext = 10⁻¹·⁷ cm/s×µM for MDCK cells.

Main Results:

  • A permeability threshold was derived from cellular energy limitations.
  • Over 60% of compounds without significant ER values fell above the threshold.
  • Only three outliers were identified with high ER and above the threshold.
  • The threshold successfully reclassified compounds based on active efflux potential.

Conclusions:

  • The derived permeability threshold offers a simple criterion to identify compounds unlikely to be actively effluxed.
  • This approach is grounded in fundamental cellular energy constraints.
  • The threshold can serve as a practical tool for early drug discovery and optimization.