Journal article
The seventh blind test of crystal structure prediction: structure generation methods
- Abstract:
- A seventh blind test of crystal structure prediction was organized by the Cambridge Crystallographic Data Centre featuring seven target systems of varying complexity: a silicon and iodine-containing molecule, a copper coordination complex, a near-rigid molecule, a cocrystal, a polymorphic small agrochemical, a highly flexible polymorphic drug candidate, and a polymorphic morpholine salt. In this first of two parts focusing on structure generation methods, many crystal structure prediction (CSP) methods performed well for the small but flexible agrochemical compound, successfully reproducing the experimentally observed crystal structures, while few groups were successful for the systems of higher complexity. A powder X-ray diffraction (PXRD) assisted exercise demonstrated the use of CSP in successfully determining a crystal structure from a low-quality PXRD pattern. The use of CSP in the prediction of likely cocrystal stoichiometry was also explored, demonstrating multiple possible approaches. Crystallographic disorder emerged as an important theme throughout the test as both a challenge for analysis and a major achievement where two groups blindly predicted the existence of disorder for the first time. Additionally, large-scale comparisons of the sets of predicted crystal structures also showed that some methods yield sets that largely contain the same crystal structures.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 9.6MB, Terms of use)
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- Publisher copy:
- 10.1107/s2052520624007492
Authors
- Publisher:
- International Union of Crystallography
- Journal:
- Acta Crystallographica Section B, Structural Science, Crystal Engineering, and Materials More from this journal
- Volume:
- 80
- Issue:
- 6
- Pages:
- 517-547
- Place of publication:
- England
- Publication date:
- 2024-12-01
- Acceptance date:
- 2024-07-30
- DOI:
- EISSN:
-
2052-5206
- ISSN:
-
2052-5192
- Pmid:
-
39405196
- Language:
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English
- Keywords:
- Pubs id:
-
2039176
- Local pid:
-
pubs:2039176
- Deposit date:
-
2024-10-28
- ARK identifier:
Terms of use
- Copyright holder:
- Hunnisett et al
- Copyright date:
- 2024
- Rights statement:
- ©2024 The Authors. This paper is an open access article distributed under the terms of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)
- Licence:
- CC Attribution (CC BY)
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