Prediction of corneal permeability using artificial neural networks

The purpose of this study was to develop a simple model for prediction of corneal permeability of structurally different drugs as a function of calculated molecular descriptors using artificial neural networks. A set of 45 compounds with experimentally derived values of corneal permeability (log C)...

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Veröffentlicht in:	Pharmazie 2003-10, Vol.58 (10), p.725-729
Hauptverfasser:	Agatonovic-Kustrin, S., Evans, A., Alany, R. G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological and medical sciences Chemical Phenomena Chemistry, Physical Cornea - metabolism General pharmacology Humans Medical sciences Models, Biological Neural Networks (Computer) Permeability Pharmacokinetics Pharmacokinetics. Pharmacogenetics. Drug-receptor interactions Pharmacology. Drug treatments Predictive Value of Tests Quantitative Structure-Activity Relationship Software
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