结晶
烟酰胺
晶体结构预测
多态性(计算机科学)
晶体结构
结晶学
材料科学
生物系统
化学
生物
有机化学
生物化学
基因
基因型
酶
作者
Xizhen Li,Xiao Ou,Bingquan Wang,Haowei Rong,Bing Wang,Chao Chang,Baimei Shi,Lian Yu,Ming Lü
标识
DOI:10.1038/s42004-020-00401-1
摘要
Overprediction is a major limitation of current crystal structure prediction (CSP) methods. It is difficult to determine whether computer-predicted polymorphic structures are artefacts of the calculation model or are polymorphs that have not yet been found. Here, we reported the well-known vitamin nicotinamide (NIC) to be a highly polymorphic compound with nine solved single-crystal structures determined by performing melt crystallization. A CSP calculation successfully identifies all six Z' = 1 and 2 experimental structures, five of which defy 66 years of attempts at being explored using solution crystallization. Our study demonstrates that when combined with our strategy for cultivating single crystals from melt microdroplets, melt crystallization has turned out to be an efficient tool for exploring polymorphic landscapes to better understand polymorphic crystallization and to more effectively test the accuracy of theoretical predictions, especially in regions inaccessible by solution crystallization.
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