晶体结构预测
多态性(计算机科学)
分子
结晶
奥西多尔
晶体结构
结晶学
Crystal(编程语言)
材料科学
化学
化学物理
计算机科学
有机化学
催化作用
生物化学
基因
基因型
程序设计语言
作者
Emily J. Wu,Andrew W. Kelly,Luca Iuzzolino,Alfred Y. Lee,Xiaolong Zhu
标识
DOI:10.1002/anie.202406214
摘要
Crystal polymorphism, characterized by different packing arrangements of the same compound, strongly ties to the physical properties of a molecule. Determining the polymorphic landscape is complex and time-consuming, with the number of experimentally observed polymorphs varying widely from molecule to molecule. Furthermore, disappearing polymorphs, the phenomenon whereby experimentally observed forms cannot be reproduced, pose a significant challenge for the pharmaceutical industry. Herein, we focused on oxindole (OX), a small rigid molecule with four known polymorphs, including a reported disappearing form. Using crystal structure prediction (CSP), we assessed OX solid-state landscape and thermodynamic stability by comparing predicted structures with experimentally known forms. We then performed melt and solution crystallization in bulk and nanoconfinement to validate our predictions. These experiments successfully reproduced the known forms and led to the discovery of four novel polymorphs. Our approach provided insights into reconstructing disappearing polymorphs and building more comprehensive polymorph landscapes. These results also establish a new record of packing polymorphism for rigid molecules.
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