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Strategies to minimize CNS toxicity:in vitrohigh-throughput assays and computational modeling

Authors :
Scot Richard Mente
Travis T. Wager
Jennifer L. Liras
Patrick Trapa
Source :
Expert Opinion on Drug Metabolism & Toxicology. 8:531-542
Publication Year :
2012
Publisher :
Informa UK Limited, 2012.

Abstract

Healthy functioning of the brain is dependent on the ability of the blood-brain barrier (BBB) and other central nervous system (CNS) barriers to protect the neurocompartments from potential disruptive and damaging xenobiotic agents. In vitro high-throughput (HT) screens and computational models that assess a compound's ability to pass through or disrupt the BBB have become important tools in the identification of new well-tolerated peripheral drugs and safer chemical products such as pesticides. Leveraging these HT in vitro assays and computational BBB tools together with the current understanding of brain penetration may enable the drug discovery community to minimize access of drug candidates into the CNS compartment.This article reviews aspects of the most recent in vitro and computational approaches designed to provide an early assessment of a compound's ability to access the neurocompartment. This article also provides insight into using these tools to identify compounds that have restricted access to the neurocompartment.The development of safer peripheral-acting medicines and chemical products can be achieved through prospective design and early assessment with HT assays of the BBB in conjunction with computational models. Exclusion or significantly reduced access of a compound to the neurocompartment will increase the odds of identifying a compound with reduced CNS-related adverse drug reactions. A holistic approach to compound design and evaluation that incorporates prospective design principles (e.g., optimization of physicochemical properties), leverages HT in vitro assays and integrates the use of BBB computational models may yield the 'best-in-class' peripherally acting product.

Details

ISSN :
17447607 and 17425255
Volume :
8
Database :
OpenAIRE
Journal :
Expert Opinion on Drug Metabolism & Toxicology
Accession number :
edsair.doi.dedup.....d30fedd6ad880c507b8b855565fea51a
Full Text :
https://doi.org/10.1517/17425255.2012.677028