title: Development of a quantitative structure--property relationship model for estimating normal boiling points of small multifunctional organic molecules.
abstract: Computer-assisted quantitative structure-property relationship techniques are applied in the development of a robust and accurate model of normal boiling points (boiling at 760 mmHg) for a very diverse set of 268 small organic molecules. Most of the molecules included in this study contain two or more functional groups. The final model yields a tight fit to the training set data (R2 = 0.963), with a fit error of 6.5%. More importantly, the model is also shown to perform well in external prediction. The mean prediction error for boiling points for a 78-member external test set was 12.3 degrees C, or 8.3%. A detailed analysis of the small number of compounds that were either outliers or not well predicted illustrates areas for potential improvement of the methodology used.
authors.affiliation: Health Care Research Center, Procter & Gamble Pharmaceuticals, Mason, Ohio 45040-8006, USA. stanton@pg.com
authors.forename: D T
authors.initials: DT
authors.lastname: Stanton
mesh_terms: D009930:Organic Chemicals / Q000737:chemistry*; D013329:Structure-Activity Relationship; D013696:Temperature
chemical_list: D009930:Organic Chemicals