| Literature DB >> 20570751 |
Abstract
Suboptimal physical properties have been identified as a particular shortcoming of compounds in contemporary drug discovery, contributing to high attrition levels. An analysis of the relationship between hydrophobicity (calculated and measured) and approximately 100k measured kinetic solubility values has been undertaken. In line with the General Solubility Equation, estimates of hydrophobicity, particularly ACD clogD(pH7.4), give a useful indication of the likely solubility classification of particular molecules. Taking ACD clogD(pH7.4) values together with the number of aromatic rings in a given molecule provides enhanced prediction. The 'Solubility Forecast Index' (SFI=clogD(pH7.4)+#Ar) is proposed as a simple, yet effective, guide to predicting solubility. Moreover, analysis of measured distribution/partition coefficient values highlighted statistically significant shortcomings in the applicability of octanol/water as a model system for hydrophobicity determination with poorly soluble compounds.Entities:
Mesh:
Substances:
Year: 2010 PMID: 20570751 DOI: 10.1016/j.drudis.2010.05.016
Source DB: PubMed Journal: Drug Discov Today ISSN: 1359-6446 Impact factor: 7.851