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药物及功能性有机材料分子晶体结构预测前沿

Frontiers of molecular crystal structure prediction for pharmaceuticals and functional organic materials.

作者信息

Beran Gregory J O

机构信息

Department of Chemistry, University of California Riverside Riverside CA 92521 USA

出版信息

Chem Sci. 2023 Nov 3;14(46):13290-13312. doi: 10.1039/d3sc03903j. eCollection 2023 Nov 29.

Abstract

The reliability of organic molecular crystal structure prediction has improved tremendously in recent years. Crystal structure predictions for small, mostly rigid molecules are quickly becoming routine. Structure predictions for larger, highly flexible molecules are more challenging, but their crystal structures can also now be predicted with increasing rates of success. These advances are ushering in a new era where crystal structure prediction drives the experimental discovery of new solid forms. After briefly discussing the computational methods that enable successful crystal structure prediction, this perspective presents case studies from the literature that demonstrate how state-of-the-art crystal structure prediction can transform how scientists approach problems involving the organic solid state. Applications to pharmaceuticals, porous organic materials, photomechanical crystals, organic semi-conductors, and nuclear magnetic resonance crystallography are included. Finally, efforts to improve our understanding of which predicted crystal structures can actually be produced experimentally and other outstanding challenges are discussed.

摘要

近年来,有机分子晶体结构预测的可靠性有了极大提高。对于大多数为刚性小分子的晶体结构预测正迅速变得常规化。对于更大、高度灵活的分子的结构预测更具挑战性,但现在它们的晶体结构也能以越来越高的成功率被预测出来。这些进展正在开创一个新的时代,在这个时代中晶体结构预测推动着新固体形式的实验发现。在简要讨论了实现成功晶体结构预测的计算方法之后,本观点展示了文献中的案例研究,这些案例说明了最先进的晶体结构预测如何能够改变科学家处理涉及有机固态问题的方式。其中包括在药物、多孔有机材料、光机械晶体、有机半导体和核磁共振晶体学方面的应用。最后,讨论了为提高我们对哪些预测的晶体结构实际上可以通过实验产生的理解所做的努力以及其他突出挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f75/10685338/549916962bd2/d3sc03903j-f1.jpg

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