Major advances made in predicting crystal structures

Researchers have met the challenge of predicting the crystal structures of small organic molecules by computational methods without experimental input, a goal that has been described as the Holy Grail of crystallography.

This breakthrough was achieved in the 4th blind test of crystal structure prediction, an exercise conducted by an international group of fifteen research groups that was organised by the Cambridge Crystallographic Data Centre (CCDC) and the University of Cambridge.

Crystal structures describe the periodically repeating arrangement of molecules in a material and determine many of a material's properties, such as solubility, dissolution rate, hardness, colour and external shape. The ability to predict crystal structures could thus revolutionise the design of materials with novel properties.

In particular, the pharmaceutical industry would gain huge benefit from reliable methods of crystal structure prediction because pharmaceutical molecules are prone to crystallise in more than one crystal structure (or polymorph), depending on the conditions under which the molecule is crystallised. The specific polymorph that goes into a formulation must be strictly controlled to ensure consistency of delivery to the patient.

Many approaches to the problem have been developed and these have been evaluated over the years in international exercises, known as the blind tests of crystal structure prediction. Fifteen research groups who have been developing methods for predicting crystal structures of organic molecules took part in the latest test, in which participants were challenged to predict four recently determined crystal structures given only the chemical diagram of the molecules and conditions of crystallisation, with three predictions allowed per crystal.

The results of previous blind tests, in 1999, 2001 and 2004, demonstrated that the crystal structures of small organic molecules can occasionally be predicted under favourable conditions, but the rates of success were low and no one method was consistently successful over the range of types of molecules studied.

The results of the 2007 blind test represent a dramatic improvement over what has been achieved previously: 3 groups had one experimental structure within their three allowed predictions, 3 others had two such hits and one group predicted all four target crystal structures, each as their most likely prediction. These very successful results were obtained by Dr Marcus Neumann of Avant-garde Materials Simulation and Drs Frank Leusen and John Kendrick of the Institute of Pharmaceutical Innovation at the University of Bradford.

Dr Graeme Day, of the University of Cambridge, who co-ordinated this year's challenge said: “The results of this year's test reflect significant development over the past few years. Things looked much less encouraging last time we held a blind test, but crystal structure prediction can now be seen as a real tool to be used alongside experimental studies, when designing new materials or developing a pharmaceutical molecule.”

The whole problem is not solved – the blind tests are limited to small, relatively rigid molecules – but these recent results demonstrate a significant advance in the field. The method can now be viewed as applicable to a number of problems of importance in the pharmaceutical industry and more generally to improving our understanding of how molecules are held together in crystalline solids.

Dr Marcus Neumann, author of the novel computer program GRACE for crystal structure prediction, said: “Obviously, we are delighted with these results, but there is still plenty of room for improvements. Over the next few years, the range of applicability will gradually extend towards more and more complex compounds such as highly flexible molecules, solvates and salts.”

Dr Frank Leusen of the University of Bradford added: “Having proven that the crystal structures of small organic compounds can be predicted reliably, the crystal structure prediction community now faces the challenge of predicting the relative stability of polymorphs as a function of crystallisation conditions to really capture the effect of temperature and solvent.”

The following articles may prove useful:

The Nature editorial (J. Maddox, Nature 1988, Vol 335, p.201, doi:10.1038/335201a0), although 20 years old, is often quoted with respect to our inability to predict crystal structures from first principles. “One of the continuing scandals in the physical sciences is that it remains in general impossible to predict the structure of even the simplest crystalline solids from a knowledge of their chemical composition...”

“Are Crystal Structures Predictable?” Angelo Gavezzotti, Accounts of Chemical Research (1994), 27, 309 – 314 (pubs3.acs.org/acs/journals/doi … =10.1021/ar00046a004)

And another article by the same title “Are Crystal Structures Predictable?” Jack D. Dunitz, Chem. Commun., 2003, 545 (www.rsc.org/Publishing/Journal … cle.asp?doi=b211531j) The synopsis of which reads “The one-word answer to the title question is still ‘No' although at certain levels of discussion a ‘Maybe', or even a conditional ‘Yes' may be entertained as possible responses.”

“Cryptic crystallography” G. R. Desiraju, Nature Materials (2002), 1, 77 – 79.

The previous blind tests of crystal structure prediction were commented on in: “Exercises in prognostication: Crystal structures and protein folding” Jack D. Dunitz and Harold A. Scheraga, PNAS 2004 101: 14309-14311, (www.pnas.org/cgi/content/full/101/40/14309)

Source: University of Cambridge

Citation: Major advances made in predicting crystal structures (2007, November 26) retrieved 19 April 2024 from https://phys.org/news/2007-11-major-advances-crystal.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Explore further

Embedding nanodiamonds in polymer can advance quantum computing and biological studies

0 shares

Feedback to editors