ArticleCrystal growth & design2025
Discovery of Cilnidipine Cocrystals with Enhanced Dissolution by the Use of Computational Tools and Semiautomatic High-Throughput Screening.
Article in Crystal growth & design, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cocrystals are an attractive option for overcoming drug limitations, such as a low dissolution rate and absorption of poorly water-soluble compounds. Nevertheless, the discovery of new cocrystals remains a trial-and-error approach in which hundreds of coformers and several experimental methods are often tested. To streamline the cocrystal screening, computational methods can be used to select the coformers most likely to form a cocrystal, while high-throughput screening (HTS) approaches can rapidly screen them experimentally. In this manuscript, a new cocrystal of the extremely poorly soluble drug cilnidipine (solubility ≈30 ng/mL, 0.06 μM) was successfully discovered by applying HTS approaches. Only one cocrystal resulted from the screening with a total of 52 coformers, whereby the computational approach molecular complementarity successfully ranked this coformer (
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Registered trials
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