The design of pharmaceutical cocrystals
has initiated widespread
debate on the classification of cocrystals. Current attempts to classify
multicomponent crystals suffer from ambiguity, which has led to inconsistent
definitions for cocrystals and for multicomponent crystals in general.
Inspired by the work of Aitipamula et al. (Cryst. Growth Des.
2012, 12, 2147–2152), we present
a feasible classification system for all multicomponent crystals.
The present classification enables us to analyze and classify multicomponent
crystal structures present in the Cambridge Structural Database (CSD).
This reveals that all seven classes proposed are relevant in terms
of frequency of occurrence. Lists of CSD refcodes for all classes
are provided. We identified over 5000 cocrystals in the CSD, as well
as over 12 000 crystals with more than two components. This illustrates
that the possibilities for alternative drug formulations can be increased
significantly by considering more than two components in drug design.
The automated identification of chiral centres in molecular residues is a non-trivial task. Current tools that allow the user to analyze crystallographic data entries do not identify chiral centres in some of the more complex ring structures, or lack the possibility to determine and compare the chirality of multiple structures. This article presents an approach to identify asymmetric C atoms, which is based on the atomic walk count algorithm presented by Rücker & Rücker [(1993), J. Chem. Inf. Comput. Sci. 33, 683-695]. The algorithm, which we implemented in a computer program named ChiChi, is able to compare isomeric residues based on the chiral centres that were identified. This allows for discrimination between enantiomers, diastereomers and constitutional isomers that are present in crystallographic databases. ChiChi was used to process 254 354 organic entries from the Cambridge Structural Database (CSD). A thorough analysis of stereoisomerism in the CSD is presented accompanied by a collection of chiral curiosities that illustrate the strength and versatility of this approach.
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