The Journal of Physical Chemistry B · 2012 · 71 citations · 33 references
Natural SciencesBiophysicsChemistryComputational ChemistryDrug DiscoveryMembrane BiophysicsDrug PermeationMembrane ModelingMembrane PermeabilityMolecular DynamicsMolecular ModelingMolecular SimulationBias-exchange MetadynamicsDrug PermeabilityLipid Bilayer PermeabilityMembrane PermeationMembrane Permeation ModelsPermeability CoefficientPermeability PredictionPermeation Mechanism
Predicting the permeability coefficient (P) of drugs permeating through the cell membrane is of paramount importance in drug discovery. We here propose an approach for calculating P based on bias-exchange metadynamics. The approach allows constructing from atomistic simulations a model of permeation taking explicitly into account not only the "trivial" reaction coordinate, the position of the drug along the direction normal to the lipid membrane plane, but also other degrees of freedom, for example, the torsional angles of the permeating molecule, or variables describing its solvation/desolvation. This allows deriving an accurate picture of the permeation process, and constructing a detailed molecular model of the transition state, making a rational control of permeation properties possible. We benchmarked this approach on the permeation of ethanol molecules through a POPC membrane, showing that the value of P calculated with our model agrees with the one calculated by a long unbiased molecular dynamics of the same system.
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