Abstract
Solubility and cellular permeability are two of the most important biopharmaceutical properties impacting the successful development of drug substances. Given the importance of these properties, most pharmaceutical companies have invested in medium to high throughput technologies for early evaluation of these characteristics in the drug discovery funnel in order to select, prioritize or eliminate compounds with unfavorable solubility and/or permeability. However, these technologies require physical samples of the substances to be tested. In order to facilitate the early stages of drug discovery, such as defining compound collection composition, designing combinatorial libraries, and in hit expansion or lead optimization, models for predicting aqueous solubility and permeability in the absence of physical sample are increasingly being employed. In this overview, we will discuss solubility and permeability experimental and computational methods separately and then interrelate them in physiologically relevant models for predicting in vivo performance.
Keywords: Solubility, permeability, ADME, in vitro, in silico, accuracy, absorption, pharmacokinetics, transporters
Combinatorial Chemistry & High Throughput Screening
Title: Solubility and Permeability Measurement and Applications in Drug Discovery
Volume: 13 Issue: 2
Author(s): Philip S. Burton and Jay T. Goodwin
Affiliation:
Keywords: Solubility, permeability, ADME, in vitro, in silico, accuracy, absorption, pharmacokinetics, transporters
Abstract: Solubility and cellular permeability are two of the most important biopharmaceutical properties impacting the successful development of drug substances. Given the importance of these properties, most pharmaceutical companies have invested in medium to high throughput technologies for early evaluation of these characteristics in the drug discovery funnel in order to select, prioritize or eliminate compounds with unfavorable solubility and/or permeability. However, these technologies require physical samples of the substances to be tested. In order to facilitate the early stages of drug discovery, such as defining compound collection composition, designing combinatorial libraries, and in hit expansion or lead optimization, models for predicting aqueous solubility and permeability in the absence of physical sample are increasingly being employed. In this overview, we will discuss solubility and permeability experimental and computational methods separately and then interrelate them in physiologically relevant models for predicting in vivo performance.
Export Options
About this article
Cite this article as:
Burton S. Philip and Goodwin T. Jay, Solubility and Permeability Measurement and Applications in Drug Discovery, Combinatorial Chemistry & High Throughput Screening 2010; 13 (2) . https://dx.doi.org/10.2174/138620710790596763
DOI https://dx.doi.org/10.2174/138620710790596763 |
Print ISSN 1386-2073 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5402 |
- 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
-
Advancement in Nanoparticle-based Biosensors for Point-of-care <i>In vitro</i>
Diagnostics
Current Topics in Medicinal Chemistry Doping and Genetic Testing: Sex Difference in UGT2B15 Expression, Testosterone Glucuronidation Activity and Urinary Testosterone/ Epitestosterone Glucuronide Ratio
Current Pharmacogenomics and Personalized Medicine Vascular Arginase and Hypertension
Current Hypertension Reviews The Use of Conformational Restriction in Medicinal Chemistry
Current Topics in Medicinal Chemistry Principles of Nanoflow Liquid Chromatography and Applications to Proteomics
Current Nanoscience Sequence-Based Prediction of Protein-Protein Interactions by Means of Rotation Forest and Autocorrelation Descriptor
Protein & Peptide Letters Inhibition of Human Leucocyte Elastase by Novel Thieno-1,3-oxazin-4-ones and Thieno-1,3-thioxazin-4-ones
Letters in Drug Design & Discovery The Influence of Natural Substrates and Inhibitors on the Nucleotide- Dependent Excision Activity of HIV-1 Reverse Transcriptase in the Infected Cell
Current Pharmaceutical Design Recent Advances in Liposomal Drug Delivery: A Review
Pharmaceutical Nanotechnology Development of Selective Cyclin-Dependent Kinase 4 Inhibitors for Antineoplastic Therapies
Anti-Cancer Agents in Medicinal Chemistry Artificial Intelligence (AI) in Drugs and Pharmaceuticals
Combinatorial Chemistry & High Throughput Screening Synthesis, Antimicrobial, Anticancer Evaluation and QSAR Studies of 3/4-Bromo Benzohydrazide Derivatives
Current Topics in Medicinal Chemistry Microarray Technology as a Universal Tool for High-Throughput Analysis of Biological Systems
Combinatorial Chemistry & High Throughput Screening A Proteomics Study of the Subacute Toxicity of Rat Brain after Long- Term Exposure of <i>Gelsemium elegans</i>
Current Molecular Pharmacology Poly-L-arginine: Enhancing Cytotoxicity and Cellular Uptake of Doxorubicin and Necrotic Cell Death
Anti-Cancer Agents in Medicinal Chemistry Non-Alcoholic Steatohepatitis: New Insights from OMICS Studies
Current Pharmaceutical Biotechnology Design and Synthesis of Mannich bases as Benzimidazole Derivatives as Analgesic Agents
Anti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry Preparation of Surface Enhanced Raman Substrate in Microfluidic Chip and the Detection of SYBR Green I
Current Nanoscience Application of Machine Learning Approaches for Protein-protein Interactions Prediction
Medicinal Chemistry Potential Application of Dietary Polyphenols from Red Wine to Attaining Healthy Ageing
Current Topics in Medicinal Chemistry