The University of Southampton
University of Southampton Institutional Repository

The seventh blind test of crystal structure prediction: structure generation methods

The seventh blind test of crystal structure prediction: structure generation methods
The seventh blind test of crystal structure prediction: structure generation methods
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.
2052-5206
517-547
Hunnisett, Lily M.
cd249b7f-55ff-4f6a-8aeb-b7f71c93731e
Nyman, Jonas
dfaf6226-8a89-4e83-91de-9edc0170a48c
Francia, Nicholas
926b233c-4eaf-42c0-b051-ef9c5bef5835
Day, Graeme M.
e3be79ba-ad12-4461-b735-74d5c4355636
Coles, Simon J.
3116f58b-c30c-48cf-bdd5-397d1c1fecf8
et al.
Hunnisett, Lily M.
cd249b7f-55ff-4f6a-8aeb-b7f71c93731e
Nyman, Jonas
dfaf6226-8a89-4e83-91de-9edc0170a48c
Francia, Nicholas
926b233c-4eaf-42c0-b051-ef9c5bef5835
Day, Graeme M.
e3be79ba-ad12-4461-b735-74d5c4355636
Coles, Simon J.
3116f58b-c30c-48cf-bdd5-397d1c1fecf8

Hunnisett, Lily M., Nyman, Jonas and Francia, Nicholas , et al. (2024) The seventh blind test of crystal structure prediction: structure generation methods. Acta Crystallographica Section B: Structural Science, Crystal Engineering and Materials, 80 (Part 6), 517-547. (doi:10.1107/S2052520624007492).

Record type: Article

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.

Text
aw5093 - Version of Record
Available under License Creative Commons Attribution.
Download (10MB)

More information

Accepted/In Press date: 30 July 2024
Published date: 16 October 2024

Identifiers

Local EPrints ID: 496505
URI: http://eprints.soton.ac.uk/id/eprint/496505
ISSN: 2052-5206
PURE UUID: c4d18090-5a5a-45bd-aff1-ddcc0f2e0532
ORCID for Graeme M. Day: ORCID iD orcid.org/0000-0001-8396-2771
ORCID for Simon J. Coles: ORCID iD orcid.org/0000-0001-8414-9272

Catalogue record

Date deposited: 17 Dec 2024 17:36
Last modified: 18 Dec 2024 02:44

Export record

Altmetrics

Contributors

Author: Lily M. Hunnisett
Author: Jonas Nyman
Author: Nicholas Francia
Author: Graeme M. Day ORCID iD
Author: Simon J. Coles ORCID iD
Corporate Author: et al.

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×