Accurate prediction of Kp,uu,brain based on experimental measurement of Kp,brain and computed physicochemical properties of candidate compounds in CNS drug discovery-Reference-Cited by-同舟云学术

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Accurate prediction of Kp,uu,brain based on experimental measurement of Kp,brain and computed physicochemical properties of candidate compounds in CNS drug discovery

Published:2024-01 Issue:2 Volume:10 Page:e24304
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Ma Yongfen,Jiang Mengrong^ORCID,Javeria Huma^ORCID,Tian Dingwei,Du Zhenxia

Publisher

Elsevier BV

Reference44 articles.

1. The impact of P-glycoprotein on the disposition of drugs targeted for indications of the central nervous system: evaluation using the MDR1A/1B knockout mouse model;Doran;Drug Metab. Dispos.,2005

2. Progress in brain penetration evaluation in drug discovery and development;Liu;J. Pharmacol. Exp. Therapeut.,2008

3. On the rate and extent of drug delivery to the brain;Hammarlund-Udenaes;Pharm. Res. (N. Y.),2008

4. Demystifying brain penetration in central nervous system drug discovery;Di;Miniperspective, J Med Chem,2013

5. In vitro methods for estimating unbound drug concentrations in the brain interstitial and intracellular fluids;Friden;Drug Metab. Dispos.,2007

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1. Synthesis and Structure–Activity Relationships for Glutamate Transporter Allosteric Modulators;Journal of Medicinal Chemistry;2024-04-16

2. Application of machine learning to predict unbound drug bioavailability in the brain;Frontiers in Drug Discovery;2024-04-04

3. Experimental and Computational Methods to Assess Central Nervous System Penetration of Small Molecules;Molecules;2024-03-13

4. Use of Unbound Exposure Data to Establish In Vitro–In Vivo Correlations for CNS Drug Candidates;AAPS Introductions in the Pharmaceutical Sciences;2024

5. In Silico Prediction of CNS Bioavailability;AAPS Introductions in the Pharmaceutical Sciences;2024

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