Application of machine learning to predict unbound drug bioavailability in the brain

Purpose: Optimizing brain bioavailability is highly relevant for the development of drugs targeting the central nervous system. Several pharmacokinetic parameters have been used for measuring drug bioavailability in the brain. The most biorelevant among them is possibly the unbound brain-to-plasma p...

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Detalles Bibliográficos
Autores principales: Morales, Juan Francisco, Ruiz, María Esperanza, Stratford, Robert E., Talevi, Alan
Formato: Articulo
Lenguaje:Inglés
Publicado: 2024
Materias:
Biología
ADME properties
blood-brain barrier
brain bioavailability
central nervous system
machine learning
pharmacokinetics modeling
artificial intelligence
unbound partition coefficient
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/167341
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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