New insights and innovation from a million crystal structures in the Cambridge Structural Database
Author(s) -
Jason C. Cole,
Seth B. Wiggin,
Francesca Stanzione
Publication year - 2019
Publication title -
structural dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.415
H-Index - 29
ISSN - 2329-7778
DOI - 10.1063/1.5116878
Subject(s) - workflow , computer science , database , simple (philosophy) , data mining , data science , philosophy , epistemology
The Cambridge Structural Database (CSD) is the world's largest and most comprehensive collection of organic, organometallic, and metal-organic crystal structure information. Analyses using the data have wide impact across the chemical sciences in allowing understanding of structural preferences. In this short review, we illustrate the more common methods by which CSD data influence molecular design. We show how more data could lead to more refined insights into the future using a simple example of trifluoromethylphenyl fragments, highlighting how with sufficient data one can build a reasonable model of geometric change in a chemical fragment with torsional rotation, and show some recent examples where the CSD has been used in conjunction with other methods to provide design ideas and more computationally tractable workflows for derivation of useful insights into structural design.
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