分子
晶体结构预测
灵活性(工程)
多态性(计算机科学)
阿西替尼
Crystal(编程语言)
材料科学
化学
纳米技术
计算化学
计算机科学
数学
有机化学
生物
生物化学
统计
索拉非尼
癌症研究
肝细胞癌
基因型
基因
程序设计语言
作者
Manolis Vasileiadis,Constantinos C. Pantelides,Claire S. Adjiman
标识
DOI:10.1016/j.ces.2014.08.058
摘要
Organic molecules can crystallize in multiple structures or polymorphs, yielding crystals with very different physical and mechanical properties. The prediction of the polymorphs that may appear in nature is a challenge with great potential benefits for the development of new products and processes. A multistage crystal structure prediction (CSP) methodology is applied to axitinib, a pharmaceutical molecule with significant polymorphism arising from molecular flexibility. The CSP study is focused on those polymorphs with one molecule in the asymmetric unit. The approach successfully identifies all four known polymorphs within this class, as well as a large number of other low-energy structures. The important role of conformational flexibility is highlighted. The performance of the approach is discussed in terms of both the quality of the results and various algorithmic and computational aspects, and some key priorities for further work in this area are identified.
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