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Previous studies of the analysis of molecular matched pairs (MMPs) have often assumed that the effect of a substructural transformation on a molecular property is independent of the context (i.e., the local structural environment in which that transformation occurs). Experiments with large sets of hERG, solubility, and lipophilicity data demonstrate that the inclusion of contextual information can enhance the predictive power of MMP analyses, with significant trends (both positive and negative) being identified that are not apparent when using conventional, context-independent approaches.

Aqueous solubility, protein binding and CYP450 inhibition data for compounds containing a variety of heteroaromatic and heteroaliphatic rings were analysed and compared to determine which ring types fared best and worst in these developability screens. The results suggest that certain heterorings are generally more developable than others: how this information may be used and some caveats to be borne in mind are discussed.

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