Abstract
Background: Blood-brain barrier transport is an important process to be considered in drug candidates. The blood-brain barrier protects the brain from toxicological agents and, therefore, also establishes a restrictive mechanism for the delivery of drugs into the brain. Although there are different and complex mechanisms implicated in drug transport, in this review we focused on the prediction of passive diffusion through the blood-brain barrier.
Methods: We elaborated on ligand-based and structure-based models that have been described to predict the blood-brain barrier permeability.
Results: Multiple 2D and 3D QSPR/QSAR models and integrative approaches have been published to establish quantitative and qualitative relationships with the blood-brain barrier permeability. We explained different types of descriptors that correlate with passive diffusion along with data analysis methods. Moreover, we discussed the applicability of other types of molecular structure-based simulations, such as molecular dynamics, and their implications in the prediction of passive diffusion. Challenges and limitations of experimental measurements of permeability and in silico predictive methods were also described.
Conclusion: Improvements in the prediction of blood-brain barrier permeability from different types of in silico models are crucial to optimize the process of Central Nervous System drug discovery and development.
Keywords: Blood-Brain barrier, central nervous system, molecular descriptors, QSAR, molecular dynamics, mechanism.
Current Medicinal Chemistry
Title:Ligand and Structure-based Modeling of Passive Diffusion through the Blood-Brain Barrier
Volume: 25 Issue: 9
Author(s): Santiago Vilar*, Eduardo Sobarzo-Sanchez, Lourdes Santana and Eugenio Uriarte
Affiliation:
- Departamento de Quimica Organica, Facultad de Farmacia, Universidad de Santiago de Compostela, 15782 Santiago de Compostela,Spain
Keywords: Blood-Brain barrier, central nervous system, molecular descriptors, QSAR, molecular dynamics, mechanism.
Abstract: Background: Blood-brain barrier transport is an important process to be considered in drug candidates. The blood-brain barrier protects the brain from toxicological agents and, therefore, also establishes a restrictive mechanism for the delivery of drugs into the brain. Although there are different and complex mechanisms implicated in drug transport, in this review we focused on the prediction of passive diffusion through the blood-brain barrier.
Methods: We elaborated on ligand-based and structure-based models that have been described to predict the blood-brain barrier permeability.
Results: Multiple 2D and 3D QSPR/QSAR models and integrative approaches have been published to establish quantitative and qualitative relationships with the blood-brain barrier permeability. We explained different types of descriptors that correlate with passive diffusion along with data analysis methods. Moreover, we discussed the applicability of other types of molecular structure-based simulations, such as molecular dynamics, and their implications in the prediction of passive diffusion. Challenges and limitations of experimental measurements of permeability and in silico predictive methods were also described.
Conclusion: Improvements in the prediction of blood-brain barrier permeability from different types of in silico models are crucial to optimize the process of Central Nervous System drug discovery and development.
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Cite this article as:
Vilar Santiago *, Sobarzo-Sanchez Eduardo, Santana Lourdes and Uriarte Eugenio, Ligand and Structure-based Modeling of Passive Diffusion through the Blood-Brain Barrier, Current Medicinal Chemistry 2018; 25 (9) . https://dx.doi.org/10.2174/0929867324666171106163742
DOI https://dx.doi.org/10.2174/0929867324666171106163742 |
Print ISSN 0929-8673 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-533X |
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