The University of Southampton
University of Southampton Institutional Repository

Predicting intrinsic aqueous solubility by a thermodynamic cycle

Palmer, David S., Llinàs, Antonio, Morao, Iñaki, Day, Graeme M., Goodman, Jonathan M., Glen, Robert C. and Mitchell, John B.O. (2008) Predicting intrinsic aqueous solubility by a thermodynamic cycle Molecular Pharmaceutics, 5, (2), pp. 266-279. (doi:10.1021/mp7000878).

Record type: Article


We report methods to predict the intrinsic aqueous solubility of crystalline organic molecules from two different thermodynamic cycles. We find that direct computation of solubility, via ab initio calculation of thermodynamic quantities at an affordable level of theory, cannot deliver the required accuracy. Therefore, we have turned to a mixture of direct computation and informatics, using the calculated thermodynamic properties, along with a few other key descriptors, in regression models. The prediction of log intrinsic solubility (referred to mol/L) by a three-variable linear regression equation gave r2 = 0.77 and RMSE = 0.71 for an external test set comprising drug molecules. The model includes a calculated crystal lattice energy which provides a computational method to account for the interactions in the solid state. We suggest that it is not necessary to know the polymorphic form prior to prediction. Furthermore, the method developed here may be applicable to other solid-state systems such as salts or cocrystals.

Full text not available from this repository.

More information

Published date: 2008
Keywords: adme, qspr, crystal, lattice energy, solvation, pharmacokinetics
Organisations: Organic Chemistry: Synthesis, Catalysis and Flow, Computational Systems Chemistry


Local EPrints ID: 343441
ISSN: 1543-8384
PURE UUID: 4b503c5f-5801-4454-894e-1f741e7a4cfc
ORCID for Graeme M. Day: ORCID iD

Catalogue record

Date deposited: 08 Oct 2012 12:36
Last modified: 18 Jul 2017 05:22

Export record



Author: David S. Palmer
Author: Antonio Llinàs
Author: Iñaki Morao
Author: Graeme M. Day ORCID iD
Author: Jonathan M. Goodman
Author: Robert C. Glen
Author: John B.O. Mitchell

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.