Abstract

Drug development may include extensive screening for crystalline forms of active pharmaceutical ingredients. Crystal engineering aims to apply supramolecular knowledge to simplify such a task. The failure of such a strategy may result in overlooking potentially interesting compounds. Here, the advantages of such a knowledge-based approach is compared to a systematic crystallization screening for pharmaceutical cocrystals. This work indicates that a screening simply based on known synthons and their relative frequency as reported in the database is as effective as a random screening exercise, potentially missing 25% of the successful cocrystallization. Readily available computational methods perform better, enabling the identification of all of the observed cocrystals with a reduction of 24% of the experimental attempts.

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