A whole output strategy for polymorph screening: Combining crystal structure prediction, graph set analysis, and targeted crystallization experiments in the case of diflunisal

Wendy I. Cross, Nicholas Blagden, Roger J. Davey, Robin G. Pritchard, Marcus A. Neumann, Ronald J. Roberts, Raymond C. Rowe

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This paper describes the combined application of crystal structure prediction and targeted experimental crystallization to diflunisal, a fuorinated, aromatic carboxylic acid. Graph set analysis has been used to analyze and classify the structural predictions, and crystallization solvents have been selected to promote the formation of crystals containing the most commonly predicted hydrogen-bonding motifs. Accordingly, four new crystal structures of this material were solved, two solvates and two new polymorphs. This example further highlights both the insight offered by crystal structure prediction software and the limitations of current solution crystallization strategies.
    Original languageEnglish
    Pages (from-to)151-158
    Number of pages7
    JournalCrystal Growth and Design
    Volume3
    Issue number2
    DOIs
    Publication statusPublished - Mar 2003

    Keywords

    • Hydrogen bond (intramol.; polymorph screening combining crystal structure prediction, graph set anal., and targeted crystn. expts. in case of diflunisal); Crystal structure; Crystallization; Graph theory; Hydrogen bond; Lattice energy; Molecular crystals (polymorph screening combining crystal structure prediction, graph set anal., and targeted crystn. expts. in case of diflunisal)

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