Abstract
The Blood-Brain Barrier (BBB) is a physical and biochemical barrier that restricts the entry of certain drugs to the Central Nervous System (CNS), while allowing the passage of others. The ability to predict the permeability of a given molecule through the BBB is a key aspect in CNS drug discovery and development, since neurotherapeutic agents with molecular targets in the CNS should be able to cross the BBB, whereas peripherally acting agents should not, to minimize the risk of CNS adverse effects. In this review we examine and discuss QSAR approaches and current availability of experimental data for the construction of BBB permeability predictive models, focusing on the modeling of the biorelevant parameter unbound partitioning coefficient (Kp,uu). Emphasis is made on two possible strategies to overcome the current limitations of in silico models: considering the prediction of brain penetration as a multifactorial problem, and increasing experimental datasets through accurate and standardized experimental techniques.
Keywords: Blood-Brain Barrier, Brain Penetration, Central Nervous System, In Silico Models, Microdialysis, Passive Difussion, Pharmacokinetic, Protein Binding, QSAR Models, Unbound Drug Fraction.
Mini-Reviews in Medicinal Chemistry
Title:Current State and Future Perspectives in QSAR Models to Predict Blood- Brain Barrier Penetration in Central Nervous System Drug R&D
Volume: 17 Issue: 3
Author(s): Juan F. Morales, Sebastian Scioli Montoto, Pietro Fagiolino and Maria E. Ruiz
Affiliation:
Keywords: Blood-Brain Barrier, Brain Penetration, Central Nervous System, In Silico Models, Microdialysis, Passive Difussion, Pharmacokinetic, Protein Binding, QSAR Models, Unbound Drug Fraction.
Abstract: The Blood-Brain Barrier (BBB) is a physical and biochemical barrier that restricts the entry of certain drugs to the Central Nervous System (CNS), while allowing the passage of others. The ability to predict the permeability of a given molecule through the BBB is a key aspect in CNS drug discovery and development, since neurotherapeutic agents with molecular targets in the CNS should be able to cross the BBB, whereas peripherally acting agents should not, to minimize the risk of CNS adverse effects. In this review we examine and discuss QSAR approaches and current availability of experimental data for the construction of BBB permeability predictive models, focusing on the modeling of the biorelevant parameter unbound partitioning coefficient (Kp,uu). Emphasis is made on two possible strategies to overcome the current limitations of in silico models: considering the prediction of brain penetration as a multifactorial problem, and increasing experimental datasets through accurate and standardized experimental techniques.
Export Options
About this article
Cite this article as:
Morales F. Juan, Montoto Scioli Sebastian, Fagiolino Pietro and Ruiz E. Maria, Current State and Future Perspectives in QSAR Models to Predict Blood- Brain Barrier Penetration in Central Nervous System Drug R&D, Mini-Reviews in Medicinal Chemistry 2017; 17 (3) . https://dx.doi.org/10.2174/1389557516666161013110813
DOI https://dx.doi.org/10.2174/1389557516666161013110813 |
Print ISSN 1389-5575 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5607 |
Call for Papers in Thematic Issues
Bioprospecting of Natural Products as Sources of New Multitarget Therapies
According to the Convention on Biological Diversity, bioprospecting is the exploration of biodiversity and indigenous knowledge to develop commercially valuable products for pharmaceutical and other applications. Bioprospecting involves searching for useful organic compounds in plants, fungi, marine organisms, and microorganisms. Natural products traditionally constituted the primary source of more than ...read more
Computational Frontiers in Medicinal Chemistry
The thematic issue "Computational Frontiers in Medicinal Chemistry" provides a robust platform for delving into state-of-the-art computational methodologies and technologies that significantly propel advancements in medicinal chemistry. This edition seeks to amalgamate top-tier reviews spotlighting the latest trends and breakthroughs in the fusion of computational approaches, including artificial intelligence (AI) ...read more
Natural Products and Dietary Supplements in Alleviation of Metabolic, Cardiovascular, and Neurological Disorders
Metabolic disorders like diabetes, obesity, inflammation, oxidative stress, cancer etc, cardiovascular disorders like angina, myocardial infarction, congestive heart failure etc as well as neurological disorders like Alzheimer?s, Parkinson?s, Epilepsy, Depression, etc are the global burden. They covered the major segment of the diseases and disorders from which the human community ...read more
Natural Products in Drug Discovery
Natural products have always been one of the important ways of drug discovery due to their novel skeleton and diverse functional group characteristics. According to statistics, between 1981 and 2019, the FDA approved a total of 1,394 small molecule drugs for marketing, of which 930 marketed drugs originated from the ...read more
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
Related Articles
-
Objective Biomarkers or Symptom Scores for the Classification of Fibromyalgia Syndrome?
Current Rheumatology Reviews Biotechnological Approaches for the Treatment of Inflammatory Diseases
Anti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry Toll-Like Receptors: Cost or Benefit for Cancer?
Current Pharmaceutical Design Signal Transduction and Photodynamic Therapy
Current Signal Transduction Therapy An Update on Developments in Female Hormonal Contraception
Current Women`s Health Reviews Role of FoxM1 in the Progression and Epithelial to Mesenchymal Transition of Gastrointestinal Cancer
Recent Patents on Anti-Cancer Drug Discovery Semi-Automatic Synthesis of Distamycin Analogues and their DNA Binding Properties
Letters in Drug Design & Discovery MiRNA-29: A microRNA Family with Tumor-Suppressing and Immune-Modulating Properties
Current Molecular Medicine Targeting Allosteric Control Mechanisms in Heat Shock Protein 70 (Hsp70)
Current Topics in Medicinal Chemistry IL-10 Producing Regulatory B Cells in Mice and Humans: State of the Art
Current Molecular Medicine Computer Optimization of Stealth Biodegradable Polymeric Dual-loaded Nanoparticles for Cancer Therapy Using Central Composite Face-centered Design
Pharmaceutical Nanotechnology A Century of Thioxanthones: Through Synthesis and Biological Applications
Current Medicinal Chemistry Clinical Pharmacology of Novel Selective COX-2 Inhibitors
Current Pharmaceutical Design Targeting Chemokine Receptor CXCR4 for Treatment of HIV-1 Infection, Tumor Progression, and Metastasis
Current Topics in Medicinal Chemistry Review on Epidermal Growth Factor Receptor (EGFR) Structure, Signaling Pathways, Interactions, and Recent Updates of EGFR Inhibitors
Current Topics in Medicinal Chemistry miR-203 Suppresses the Proliferation and Metastasis of Hepatocellular Carcinoma by Targeting Oncogene ADAM9 and Oncogenic Long Non-coding RNA HULC
Anti-Cancer Agents in Medicinal Chemistry The Role of TRP Channels in Allergic Inflammation and its Clinical Relevance
Current Medicinal Chemistry Dedicated Breast CT: Current Status and New Directions
Current Medical Imaging From Natural Products to Small Molecule Ketone Histone Deacetylase Inhibitors: Development of New Class Specific Agents
Current Pharmaceutical Design Bioactive Isolates of <i>Morus</i> Species as Antibacterial Agents and their <i>In Silico</i> Profiling
Letters in Drug Design & Discovery