Title
Octanol-water partition coefficient measurements for the SAMPL6 blind prediction challenge.
Abstract
Partition coefficients describe the equilibrium partitioning of a single, defined charge state of a solute between two liquid phases in contact, typically a neutral solute. Octanol–water partition coefficients ($$K_{\rm ow}$$), or their logarithms (log P), are frequently used as a measure of lipophilicity in drug discovery. The partition coefficient is a physicochemical property that captures the thermodynamics of relative solvation between aqueous and nonpolar phases, and therefore provides an excellent test for physics-based computational models that predict properties of pharmaceutical relevance such as protein-ligand binding affinities or hydration/solvation free energies. The SAMPL6 Part II octanol–water partition coefficient prediction challenge used a subset of kinase inhibitor fragment-like compounds from the SAMPL6 $$\hbox {p}{K}_{{\rm a}}$$ prediction challenge in a blind experimental benchmark. Following experimental data collection, the partition coefficient dataset was kept blinded until all predictions were collected from participating computational chemistry groups. A total of 91 submissions were received from 27 participating research groups. This paper presents the octanol–water log P dataset for this SAMPL6 Part II partition coefficient challenge, which consisted of 11 compounds (six 4-aminoquinazolines, two benzimidazole, one pyrazolo[3,4-d]pyrimidine, one pyridine, one 2-oxoquinoline substructure containing compounds) with log P values in the range of 1.95–4.09. We describe the potentiometric log P measurement protocol used to collect this dataset using a Sirius T3, discuss the limitations of this experimental approach, and share suggestions for future log P data collection efforts for the evaluation of computational methods.
Year
DOI
Venue
2020
10.1007/s10822-019-00271-3
Journal of Computer-Aided Molecular Design
Keywords
DocType
Volume
Octanol–water partition coefficient, log P , Blind prediction challenge, SAMPL, Kinase inhibitor fragments, 4-Aminoquinazoline, Potentiometric log P measurement
Journal
34
Issue
ISSN
Citations 
4
0920-654X
1
PageRank 
References 
Authors
0.35
0
5
Name
Order
Citations
PageRank
Mehtap Işık131.06
Dorothy Levorse210.35
David L. Mobley321920.01
Timothy Rhodes420.70
John D Chodera5467.89