scholarly journals Towards crystal structure prediction of complex organic compounds – a report on the fifth blind test

2011 ◽  
Vol 67 (6) ◽  
pp. 535-551 ◽  
Author(s):  
David A. Bardwell ◽  
Claire S. Adjiman ◽  
Yelena A. Arnautova ◽  
Ekaterina Bartashevich ◽  
Stephan X. M. Boerrigter ◽  
...  
Keyword(s):  
Crystal Structure ◽  
Structure Prediction ◽  
Density Functional ◽  
Crystal Structure Prediction ◽  
Blind Test ◽  
Functional Theory ◽  
Flexible Molecule ◽  
Successful Prediction ◽  
The Many ◽  
Complex Organic

Following on from the success of the previous crystal structure prediction blind tests (CSP1999, CSP2001, CSP2004 and CSP2007), a fifth such collaborative project (CSP2010) was organized at the Cambridge Crystallographic Data Centre. A range of methodologies was used by the participating groups in order to evaluate the ability of the current computational methods to predict the crystal structures of the six organic molecules chosen as targets for this blind test. The first four targets, two rigid molecules, one semi-flexible molecule and a 1:1 salt, matched the criteria for the targets from CSP2007, while the last two targets belonged to two new challenging categories – a larger, much more flexible molecule and a hydrate with more than one polymorph. Each group submitted three predictions for each target it attempted. There was at least one successful prediction for each target, and two groups were able to successfully predict the structure of the large flexible molecule as their first place submission. The results show that while not as many groups successfully predicted the structures of the three smallest molecules as in CSP2007, there is now evidence that methodologies such as dispersion-corrected density functional theory (DFT-D) are able to reliably do so. The results also highlight the many challenges posed by more complex systems and show that there are still issues to be overcome.

scholarly journals Report on the sixth blind test of organic crystal structure prediction methods

2016 ◽  
Vol 72 (4) ◽  
pp. 439-459 ◽  
Author(s):  
Anthony M. Reilly ◽  
Richard I. Cooper ◽  
Claire S. Adjiman ◽  
Saswata Bhattacharya ◽  
A. Daniel Boese ◽  
...  
Keyword(s):  
Crystal Structure ◽  
Structure Prediction ◽  
Density Functional ◽  
Organic Crystal ◽  
Drug Candidate ◽  
Prediction Methods ◽  
Chloride Salt ◽  
Crystal Structure Prediction ◽  
Blind Test ◽  
Flexible Molecules

The sixth blind test of organic crystal structure prediction (CSP) methods has been held, with five target systems: a small nearly rigid molecule, a polymorphic former drug candidate, a chloride salt hydrate, a co-crystal and a bulky flexible molecule. This blind test has seen substantial growth in the number of participants, with the broad range of prediction methods giving a unique insight into the state of the art in the field. Significant progress has been seen in treating flexible molecules, usage of hierarchical approaches to ranking structures, the application of density-functional approximations, and the establishment of new workflows and `best practices' for performing CSP calculations. All of the targets, apart from a single potentially disorderedZ′ = 2 polymorph of the drug candidate, were predicted by at least one submission. Despite many remaining challenges, it is clear that CSP methods are becoming more applicable to a wider range of real systems, including salts, hydrates and larger flexible molecules. The results also highlight the potential for CSP calculations to complement and augment experimental studies of organic solid forms.

scholarly journals Phase relations, and mechanical and electronic properties of nickel borides, carbides, and nitrides from ab initio calculations

RSC Advances ◽  
2021 ◽  
Vol 11 (53) ◽  
pp. 33781-33787
Author(s):  
Nursultan E. Sagatov ◽  
Aisulu U. Abuova ◽  
Dinara N. Sagatova ◽  
Pavel N. Gavryushkin ◽  
Fatima U. Abuova ◽  
...  
Keyword(s):  
Crystal Structure ◽  
Density Functional Theory ◽  
Ab Initio Calculations ◽  
Structure Prediction ◽  
Density Functional ◽  
Pressure Range ◽  
Prediction Methods ◽  
Crystal Structure Prediction ◽  
Functional Theory ◽  
C And N

Based on density functional theory and the crystal structure prediction methods, USPEX and AIRSS, stable intermediate compounds in the Ni–X (X = B, C, and N) systems and their structures were determined in the pressure range of 0–400 GPa.

scholarly journals First-year experience with fully automated crystal structure prediction

2014 ◽  
Vol 70 (a1) ◽  
pp. C1618-C1618
Author(s):  
Marcus Neumann ◽  
Bernd Doser
Keyword(s):  
Crystal Structure ◽  
Structure Prediction ◽  
Density Functional ◽  
Method Development ◽  
Force Fields ◽  
Crystal Structure Prediction ◽  
Blind Test ◽  
Structure Generation ◽  
Statistical Correlations ◽  
Pharmaceutical Molecules

With improving hardware and software performance, usability has become one of the main obstacles to a more widespread use of Crystal Structure Prediction (CSP) with the GRACE program. In terms of method development, important milestones had already been passed by the time of the 5th blind test [1] in 2010, including the parameterization of dispersion-corrected Density Functional Theory (DFT-D) [2], the generation of tailor-made force fields from ab-initio reference data [3], a Monte-Carlo parallel tempering crystal structure generation engine and a DFT-d reranking procedure exploiting statistical correlations. These components have now been incorporated in automated data flow processes that remove the burden of scores of expert decisions from the user. Summarizing the results of CSP studies performed with the new Force Field Factory and CSP Factory modules throughout a year, the current performance of CSP is critically assessed and further method development needs are pinpointed. Studied compounds include 20 small molecules with competing hydrogen bonds motifs, 4 mono-hydrates of non-ionic molecules and the hydrates and chloride salts of several amino acids. The ability to handle flexible pharmaceutical molecules is demonstrated by a validation study on aripiprazole with one and two molecules per asymmetric unit. Salient features of the energy landscapes of other pharmaceutical molecules are discussed. Statistics are presented for the accuracy of tailor-made force fields, and the energy ranking performance of several DFT-d flavors is compared.

scholarly journals Prediction of unexpected BnPn structures: promising materials for non-linear optical devices and photocatalytic activities

2021 ◽  
Author(s):  
Zabiollah Mahdavifar
Keyword(s):  
Crystal Structure ◽  
Density Functional Theory ◽  
Structure Prediction ◽  
Density Functional ◽  
Modern Method ◽  
Optical Devices ◽  
Crystal Structure Prediction ◽  
Functional Theory ◽  
Photocatalytic Activities ◽  
Stable Structures

In the present work, a modern method of crystal structure prediction, namely USPEX conjugated with density functional theory (DFT) calculations, was used to predict the new stable structures of BnPn (n = 12, 24) clusters.

Effect of packing motifs on the energy ranking and electronic properties of putative crystal structures of tricyano-1,4-dithiino[c]-isothiazole

2016 ◽  
Vol 72 (4) ◽  
pp. 562-570 ◽  
Author(s):  
Farren Curtis ◽  
Xiaopeng Wang ◽  
Noa Marom
Keyword(s):  
Crystal Structure ◽  
Optical Properties ◽  
Structure Prediction ◽  
Density Functional ◽  
Crystal Packing ◽  
Crystal Structure Prediction ◽  
Dispersion Interactions ◽  
Blind Test ◽  
Electronic And Optical Properties ◽  
Inclusive Density

We present an analysis of putative structures of tricyano-1,4-dithiino[c]-isothiazole (TCS3), generated within the sixth crystal structure prediction blind test. Typical packing motifs are identified and characterized in terms of distinct patterns of close contacts and regions of electrostatic and dispersion interactions. We find that different dispersion-inclusive density functional theory (DFT) methods systematically favor specific packing motifs, which may affect the outcome of crystal structure prediction efforts. The effect of crystal packing on the electronic and optical properties of TCS3 is investigated using many-body perturbation theory within theGWapproximation and the Bethe–Salpeter equation (BSE). We find that a structure withPna21symmetry and a bilayer packing motif exhibits intermolecular bonding patterns reminiscent of π–π stacking and has markedly different electronic and optical properties than the experimentally observedP21/nstructure with a cyclic dimer motif, including a narrower band gap, enhanced band dispersion and broader optical absorption. ThePna21bilayer structure is close in energy to the observed structure and may be feasible to grow.

scholarly journals Crystal structure prediction of indomethacin

2014 ◽  
Vol 70 (a1) ◽  
pp. C1540-C1540
Author(s):  
Xiaozhou Li ◽  
Kristoffer Johansson ◽  
Andrew Bond ◽  
Jacco van de Streek
Keyword(s):  
Crystal Structure ◽  
Force Field ◽  
Crystal Structures ◽  
Structure Prediction ◽  
Molecular Crystal ◽  
Density Functional ◽  
Computational Cost ◽  
Stable Form ◽  
Crystal Structure Prediction ◽  
Blind Test

Indomethacin is a non-steroidal anti-inflammatory and antipyretic agent. Because different packing arrangements of the same drug can greatly affect drug properties such as colours, solubility, stability, melting point, dissolution rate and so forth, it is important to predict its polymorphs. The computational prediction of the stable form will reduce undesirable risks in both clinical trials and manufacturing. Reported polymorphs of indomethacin include α, β, γ, δ, ε, η and ζ [1], of which only the thermodynamically stable form γ and the metastable form α are determined. Density functional theory with dispersion-correction (DFT-D) has been used extensively to study molecular crystal structures[2]. It gives better results with a compromise between the computational cost and accuracy towards the reproduction of molecular crystal structures. In the fourth blind test of crystal structure prediction in 2007, the DFT-D method gave a very successful result that predicted all four structures correctly. Rather than using transferable force fields, a dedicated tailor-made force field (TMFF) parameterised by DFT-D calculations[3] is used for every chemical compound. The force field is used to generate a set of crystal structures and delimit a candidate window for energy ranking. The powder diffraction patterns of predicted polymorphs are calculated to compare with experimental data.

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