Abstract
CNS drug development is characterized by an especially high attrition rate, despite clear unmet medical needs in the field of neuro-pharmacology and significant investment in R&D of novel CNS drug treatments. Here, we overview the issues underlying the intrinsic difficulty of CNS drugs development, including obstacles of pharmacokinetic nature and lack of predictivity of preclinical tests. We highlight current efforts to overcome these limitations, with an emphasis on modeling opportunities towards early recognition of CNS candidates (stressing the possibilities of multi-target directed ligands or “magic shotguns”) and different approaches to improve CNS bioavailability.
Keywords: ADMET models, biomarkers, CNS drugs, in vitro models, in silico models, multi-target directed ligands.
Mini-Reviews in Medicinal Chemistry
Title:CNS Drug Development – Lost in Translation?
Volume: 12 Issue: 10
Author(s): A. Talevi, C. L. Bellera, M. Di Ianni, M. Gantner, L. E. Bruno-Blanch and . A. Castro
Affiliation:
Keywords: ADMET models, biomarkers, CNS drugs, in vitro models, in silico models, multi-target directed ligands.
Abstract: CNS drug development is characterized by an especially high attrition rate, despite clear unmet medical needs in the field of neuro-pharmacology and significant investment in R&D of novel CNS drug treatments. Here, we overview the issues underlying the intrinsic difficulty of CNS drugs development, including obstacles of pharmacokinetic nature and lack of predictivity of preclinical tests. We highlight current efforts to overcome these limitations, with an emphasis on modeling opportunities towards early recognition of CNS candidates (stressing the possibilities of multi-target directed ligands or “magic shotguns”) and different approaches to improve CNS bioavailability.
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Cite this article as:
Talevi A., Bellera L. C., Ianni Di M., Gantner M., Bruno-Blanch E. L. and Castro A. ., CNS Drug Development – Lost in Translation?, Mini-Reviews in Medicinal Chemistry 2012; 12 (10) . https://dx.doi.org/10.2174/138955712802762356
DOI https://dx.doi.org/10.2174/138955712802762356 |
Print ISSN 1389-5575 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5607 |
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