articleJournal of Chemical Information and ModelingNov 8, 2014Closed access

iLOGP: A Simple, Robust, and Efficient Description of n -Octanol/Water Partition Coefficient for Drug Design Using the GB/SA Approach

SIB Swiss Institute of Bioinformatics · University Hospital of Lausanne · +2 more institutions

PubMed
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Abstract

The n-octanol/water partition coefficient (log Po/w) is a key physicochemical parameter for drug discovery, design, and development. Here, we present a physics-based approach that shows a strong linear correlation between the computed solvation free energy in implicit solvents and the experimental log Po/w on a cleansed data set of more than 17,500 molecules. After internal validation by five-fold cross-validation and data randomization, the predictive power of the most interesting multiple linear model, based on two GB/SA parameters solely, was tested on two different external sets of molecules. On the Martel druglike test set, the predictive power of the best model (N = 706, r = 0.64, MAE = 1.18, and RMSE =…

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928
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Authors

3

Topics & keywords

Keywords
  • Partition coefficient
  • Solvation
  • Complement (music)
  • Correlation coefficient
  • Octanol
  • Mathematics
  • Partition (number theory)
  • Quantitative structure–activity relationship
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