Braun Doris E, Griesser Ulrich J
Institute of Pharmacy, University of Innsbruck, Innrain 52c, 6020 Innsbruck, Austria.
Cryst Growth Des. 2016 Nov 2;16(11):6405-6418. doi: 10.1021/acs.cgd.6b01078.
Computational methods were used to generate and explore the crystal structure landscapes of the two alkaloids strychnine and brucine. The computed structures were analyzed and rationalized by correlating the modelling results to a rich pool of available experimental data. Despite their structural similarity, the two compounds show marked differences in the formation of solid forms. For strychnine only one anhydrous form is reported in the literature and two new solvates from 1,4-dioxane were detected in the course of this work. In contrast, 22 solid forms are so far known to exist for brucine, comprising two anhydrates, four hydrates ( - and a 5.25-hydrate), twelve solvates (alcohols and acetone) and four heterosolvates (mixed solvates with water and alcohols). For strychnine it is hard to produce any solid form other than the stable anhydrate while the formation of specific solid state forms of brucine is governed by a complex interplay between temperature and relative humidity/water activity and it is rather a challenging to avoid hydrate formation. Differences in crystal packing and the high tendency for brucine to form hydrates are not intuitive from the molecular structure alone, as both molecules have hydrogen bond acceptor groups but lack hydrogen bond donor groups. Only the evaluation of the crystal energy landscapes, in particular the close-packed crystal structures and high-energy open frameworks containing voids of molecular (water) dimensions, allowed us to unravel the diverse solid state behavior of the two alkaloids at a molecular level. In this study we demonstrate that expanding the analysis of anhydrate crystal energy landscapes to higher energy structures and calculating the solvent-accessible volume can be used to estimate non-stoichiometric or channel hydrate (solvate) formation, without explicitly computing the hydrate/solvate crystal energy landscapes.
采用计算方法生成并探索了两种生物碱士的宁和马钱子碱的晶体结构景观。通过将建模结果与大量可用实验数据相关联,对计算得到的结构进行了分析和合理化处理。尽管它们结构相似,但这两种化合物在固体形态的形成上表现出显著差异。文献中报道士的宁只有一种无水形式,在本研究过程中检测到了两种来自1,4 - 二氧六环的新溶剂化物。相比之下,目前已知马钱子碱存在22种固体形态,包括两种无水物、四种水合物(一种 - 水合物和一种5.25水合物)、十二种溶剂化物(醇类和丙酮)以及四种杂溶剂化物(与水和醇类的混合溶剂化物)。对于士的宁,除了稳定的无水物外,很难生成任何其他固体形态,而马钱子碱特定固态形态的形成受温度与相对湿度/水分活度之间复杂相互作用的控制,避免水合物形成颇具挑战性。仅从分子结构本身来看,晶体堆积的差异以及马钱子碱形成水合物的高倾向性并不直观,因为这两种分子都有氢键受体基团但缺乏氢键供体基团。只有对晶体能量景观进行评估,特别是对紧密堆积的晶体结构和包含分子(水)尺寸空隙的高能开放框架进行评估,才使我们能够在分子水平上揭示这两种生物碱不同的固态行为。在本研究中,我们证明将无水物晶体能量景观的分析扩展到更高能量结构并计算溶剂可及体积,可用于估计非化学计量或通道水合物(溶剂化物)的形成,而无需明确计算水合物/溶剂化物晶体能量景观。