4.7 Article

Can computed crystal energy landscapes help understand pharmaceutical solids?

期刊

CHEMICAL COMMUNICATIONS
卷 52, 期 44, 页码 7065-7077

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/c6cc00721j

关键词

-

资金

  1. Cambridge Crystallographic Data Centre
  2. Eli Lilly and Company
  3. EPSRC [EP/K039229/1, EP/F03573X/1]
  4. Elise Richter programme of the Austrian Science Fund (FWF) [V436-N34]
  5. Engineering and Physical Sciences Research Council [EP/K039229/1, EP/F03573X/1] Funding Source: researchfish

向作者/读者索取更多资源

Computational crystal structure prediction (CSP) methods can now be applied to the smaller pharmaceutical molecules currently in drug development. We review the recent uses of computed crystal energy landscapes for pharmaceuticals, concentrating on examples where they have been used in collaboration with industrial-style experimental solid form screening. There is a strong complementarity in aiding experiment to find and characterise practically important solid forms and understanding the nature of the solid form landscape.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据