CNS drug design: balancing physicochemical properties for optimal brain exposure.
By Z. Rankovic. 2015
471 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Oncology, Pharmacology, Computational Chemistry & Drug Discovery
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In Computational Theory and Mathematics
In Oncology
In Pharmacology
In Computational Chemistry & Drug Discovery
Citations in the corpus
- Designed switch from covalent to non-covalent inhibitors of carboxylesterase Notum activity (2023, background): “Removal of the carboxylic acid would promote passive brain permeability and potentially provide a tool suitable for use in exploring Wnt signalling in disease of the CNS [24,25].”
- A perspective on multi-target drug discovery and design for complex diseases (2018, methodology): “The development of quantitative structureexposure relationships between molecular parameters of drugs and experimental parameters of their brain exposure is now a valuable tool for predicting CNS drug efficacy [74, 75].”
- Current Challenges and Opportunities in Treating Glioblastoma (2018, background): “The size of a compound is measured by its molecular weight and polar surface area, which are optimal below 450 g/mol and 90 Å2, respectively, for CNS drugs (Rankovic, 2015).”