Agrochemicals and log P octanol: Evaluation of structure based predictions

AGRO 64

Eric D. Clarke, Jealott's Hill International Research Centre, Syngenta, Bracknell, Berkshire, RG42 6EY, United Kingdom, John Delaney, john.delaney@syngenta.com, Jealott’s Hill Research Centre, Syngenta, Bracknell, RG42 6EY Berkshire, United Kingdom, Pranas Japertas, jurgutis@ap-algorithms.com, Pharma Algorithms Inc, 591 Indian Rd., Toronto, ON M6P 2C4, Canada, and Paulius J. Jurgutis, jurgutis@ap-algorithms.com, Pharma Algorithms, Inc, 591 Indian Road, Toronto, ON, Canada.
The organic:aqueous partition coefficient between octanol and water is widely used as a measure of lipophilicity in the assessment of the environmental fate of agrochemicals. We have applied six structure based methods for the prediction of log P octanol to ~600 agrochemical products taken from the Pesticide Manual (12th Edition) and ~ 5000 compounds from Syngenta research projects. The prediction methods used were ClogP (Daylight v.4.73), AlogP, (Accelrys Diamond Descriptors v1.5), ACD logP (Phys Chem Batch v.6.16), Kowwin (EPI Suite v3.12), Absolv log P and PHA log P (both via Pharma Algorithms ADME Boxes v.3.5). Predictions obtained for each method were compared to measured values in terms of r-squared, intercept and slope and mean absolute errors calculated from plots normalised to give a slope of 1 and intercept of 0. In addition percentage average error values within 0.2, 0.5, 1.0 and 2.0 log units were assessed for each method.
 

New Developments and Issues in Agrochemical Sciences
8:00 AM-11:00 AM, Monday, August 20, 2007 BCEC -- Exhibit Hall - B2, Poster

Sci-Mix
8:00 PM-10:00 PM, Monday, August 20, 2007 BCEC -- Exhibit Hall - B2, Sci-Mix

Division of Agrochemicals

The 234th ACS National Meeting, Boston, MA, August 19-23, 2007