Advances in Drug Delivery to the Central Nervous System
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Pharmacology".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 5
Special Issue Editor
Interests: computational modelling; blood-brain barrier models; artificial intelligence; molecular dynamics; complex membrane modelling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Delivering therapeutics to the central nervous system (CNS) remains a significant challenge in precision medicine in part due to complex absorption, distribution, metabolism, and excretion (ADME) factors. This Special Issue will explore strategies to improve CNS drug delivery, including approaches to enhance brain penetration, reduce peripheral exposure, and optimize physicochemical properties for favorable pharmacokinetics. Considerations of the blood–brain barrier (BBB) are equally of interest.
Recent advances in physiologically based pharmacokinetic modeling, in vitro and in vivo systems, and computational simulations have expanded our ability to assess drug transport and distribution within the CNS. Innovations such as induced pluripotent stem cells (iPSC)-derived cellular models, organoids, and microfluidic platforms provide dynamic insights into transport mechanisms, while in situ perfusion and in silico tools enable quantitative permeability predictions.
We invite contributions addressing ADME challenges, novel delivery systems, and translational approaches that bridge preclinical findings with clinical success. Submissions may include experimental, computational, or integrative strategies aimed at improving therapeutic efficacy and safety in CNS drug development.
Dr. Christian Jorgensen
Guest Editor
Manuscript Submission Information
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Keywords
- CNS pharmakokinetics
- ADME
- 2D BBB models
- 3D BBB models
- permeability
- in silico simulations
- iPSC-derived human brain microvascular endothelial cell models
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