共晶
萘啶酸
差示扫描量热法
虚拟筛选
化学
组合化学
粉末衍射
活性成分
结晶学
材料科学
药物发现
分子
有机化学
生物信息学
生物
生物化学
物理
热力学
氢键
抗生素耐药性
抗生素
作者
Tudor Grecu,Harry Adams,Christopher A. Hunter,James F. McCabe,Anna Portell,Rafel Prohens
摘要
Formulation of solids as cocrystals offers an opportunity to modulate physical properties, so identification of cocrystal formers (CCFs) for an active pharmaceutical ingredient is an area of significant interest. Exhaustive experimental screening would be time-consuming, but we have developed a computational method for identifying CCFs that have a high chance of success based on calculated functional group interaction energies. This virtual screening tool has been applied to nalidixic acid cocrystals. Calculations on a library of 310 compounds identified the 44 most promising CCFs for formation of nalidixic acid cocrystals. Six of these compounds were already known to form cocrystals, and experimental work was undertaken on the remaining 38 compounds. X-ray powder diffraction (XRPD) of mixtures obtained from grinding experiments identified seven CCFs that form new solid phases with nalidixic acid. Infrared spectroscopy and differential scanning calorimetry confirm that these new solid phases are different from the pure components. Further structural characterization was not possible for the skatole, 2,4-dihydroxybenzoic acid, and 3,4-dihydroxybenzoic acid cocrystals, but X-ray crystal structures were obtained from single crystals of the 1:1 tert-butylhydroquinone cocrystal and of the 1:1 propyl gallate cocrystal and from the XRPD pattern for the 1:1 2-phenylphenol cocrystal and for the 1:2 indole cocrystal. The results suggest that success rates in cocrystal screening can be significantly improved by application of computational filters to select the most appropriate CCFs for experimental study.
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