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Exploratory analysis of kinetic solubility measurements of a small molecule library.


ABSTRACT: Kinetic solubility measurements using prototypical assay buffer conditions are presented for a ?58,000 member library of small molecules. Analyses of the data based upon physical and calculated properties of each individual molecule were performed and resulting trends were considered in the context of commonly held opinions of how physicochemical properties influence aqueous solubility. We further analyze the data using a decision tree model for solubility prediction and via a multi-dimensional assessment of physicochemical relationships to solubility in the context of specific 'rule-breakers' relative to common dogma. The role of solubility as a determinant of assay outcome is also considered based upon each compound's cross-assay activity score for a collection of publicly available screening results. Further, the role of solubility as a governing factor for colloidal aggregation formation within a specified assay setting is examined and considered as a possible cause of a high cross-assay activity score. The results of this solubility profile should aid chemists during library design and optimization efforts and represent a useful training set for computational solubility prediction.

SUBMITTER: Guha R 

PROVIDER: S-EPMC3236531 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature

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Exploratory analysis of kinetic solubility measurements of a small molecule library.

Guha Rajarshi R   Dexheimer Thomas S TS   Kestranek Aimee N AN   Jadhav Ajit A   Chervenak Andrew M AM   Ford Michael G MG   Simeonov Anton A   Roth Gregory P GP   Thomas Craig J CJ  

Bioorganic & medicinal chemistry 20110513 13


Kinetic solubility measurements using prototypical assay buffer conditions are presented for a ∼58,000 member library of small molecules. Analyses of the data based upon physical and calculated properties of each individual molecule were performed and resulting trends were considered in the context of commonly held opinions of how physicochemical properties influence aqueous solubility. We further analyze the data using a decision tree model for solubility prediction and via a multi-dimensional  ...[more]

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