Literature DB >> 22458547

Strategies to minimize CNS toxicity: in vitro high-throughput assays and computational modeling.

Travis T Wager1, Jennifer L Liras, Scot Mente, Patrick Trapa.   

Abstract

INTRODUCTION: 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. AREAS COVERED: 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. EXPERT OPINION: 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.

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Year:  2012        PMID: 22458547     DOI: 10.1517/17425255.2012.677028

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  10 in total

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2.  Prediction of blood-brain barrier permeability of organic compounds.

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6.  De novo prediction of p-glycoprotein-mediated efflux liability for druglike compounds.

Authors:  Hakan Gunaydin; Matthew M Weiss; Yaxiong Sun
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7.  Blood-brain barrier modeling: challenges and perspectives.

Authors:  Tobias Ruck; Stefan Bittner; Sven G Meuth
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8.  Towards Deep Neural Network Models for the Prediction of the Blood-Brain Barrier Permeability for Diverse Organic Compounds.

Authors:  Eugene V Radchenko; Alina S Dyabina; Vladimir A Palyulin
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9.  Modelling the endothelial blood-CNS barriers: a method for the production of robust in vitro models of the rat blood-brain barrier and blood-spinal cord barrier.

Authors:  P Marc D Watson; Judy C Paterson; George Thom; Ulrika Ginman; Stefan Lundquist; Carl I Webster
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  10 in total

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