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Also, in vitro studies using an artificial membrane model have predicted a good brain permeability for hybrids 5a d, and hence, their ability to reach their targets in the central nervous system.
While artificial membrane LDPE produced different permeation profiles in comparison to human skin model, this artificial membrane model could still be considered a reliable option for evaluating percutaneous permeation of topical formulations in quality control when human skin specimens are unavailable.
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These findings will have implications in the experimental design and data interpretation of pH‐dependent drug transport experiments in cell culture models as well as in artificial membrane models such as HDM and parallel artificial membrane permeability assay (PAMPA).
In vitro methods (passive artificial membrane permeability models, cellular monolayer models) are useful, although predictivity remains limited as the models cannot completely mimic the complexity of a dynamic in vivo system.
Studies on model artificial membrane tubes such as those created by pulling tethers from synthetic lipid vesicles or cellular plasma membrane provide a complementary approach to obtain mechanistic insights into the formation of TNT-like structures.
In developing these compounds to target the central nervous system (CNS), an assessment of their blood-brain barrier (BBB) permeability was performed using in vitro BBB models: parallel artificial membrane permeability assay-BBB which measures passive permeability and primary porcine brain endothelial cell model which enables determination of the involvement of active transport mechanism.
As the early screening tools for drug research, rapid equilibrium dialysis (RED) device and parallel artificial membrane permeability assay (PAMPA) are two major in vitro models based on Teflon base plate.
To study the permeability of the peptides, the Parallel Artificial Membrane Permeability Assay (PAMPA) was used as an in vitro model of the blood brain barrier (BBB).
The adapted method included an energy function that modelled a multi-layer artificial membrane environment.
The last part focuses on Immobilised Artificial Membrane (IAM) chromatography as an alternative which combines membrane simulation with rapid measurements.
Computational models and physicochemical methods such as the Parallel Artificial Membrane Permeability Assay (PAMPA-BBB) offer high-throughput screening capability at early stages of drug discovery, but are only able to predict passive permeation [ 4, 5].
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