RRC ID 63720
Author Watanabe R, Esaki T, Ohashi R, Kuroda M, Kawashima H, Komura H, Natsume-Kitatani Y, Mizuguchi K.
Title Development of an In Silico Prediction Model for P-glycoprotein Efflux Potential in Brain Capillary Endothelial Cells toward the Prediction of Brain Penetration.
Journal J Med Chem
Abstract Developing in silico models to predict the brain penetration of drugs remains a challenge owing to the intricate involvement of multiple transport systems in the blood brain barrier, and the necessity to consider a combination of multiple pharmacokinetic parameters. P-glycoprotein (P-gp) is one of the most important transporters affecting the brain penetration of drugs. Here, we developed an in silico prediction model for P-gp efflux potential in brain capillary endothelial cells (BCEC). Using the representative values of P-gp net efflux ratio in BCEC, we proposed a novel prediction system for brain-to-plasma concentration ratio (Kp,brain) and unbound brain-to-plasma concentration ratio (Kp,uu,brain) of P-gp substrates. We validated the proposed prediction system using newly acquired experimental brain penetration data of 28 P-gp substrates. Our system improved the predictive accuracy of brain penetration of drugs using only chemical structure information compared with that of previous studies.
Volume 64(5)
Pages 2725-2738
Published 2021-3-11
DOI 10.1021/acs.jmedchem.0c02011
PMID 33619967
MeSH ATP Binding Cassette Transporter, Subfamily B, Member 1 / genetics ATP Binding Cassette Transporter, Subfamily B, Member 1 / metabolism* Animals Biological Transport / physiology* Blood-Brain Barrier / metabolism* Cell Line Computer Simulation Endothelial Cells / metabolism* Gene Knockout Techniques Humans Organic Chemicals / metabolism* Rats, Transgenic
IF 6.205
Resource
Human and Animal Cells LLC(RCB0558) LLC-GA5-CoL150(RCB0871)