AbstractOrganic molecules can crystallize in multiple structures or polymorphs, yielding crystals with very different physical and mechanical properties. The prediction of the polymorphs that may appear in nature is a challenge with great potential benefits for the development of new products and processes. A multistage crystal structure prediction (CSP) methodology is applied to axitinib, a pharmaceutical molecule with significant polymorphism arising from molecular flexibility. The CSP study is focused on those polymorphs with one molecule in the asymmetric unit. The approach successfully identifies all four known polymorphs within this class, as well as a large number of other low-energy structures. The important role of conformational f...
The ability to predict the properties of a crystal structure before any empirical analysis or labora...
No AbstractPeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/64302/1/8657_ftp.pd
Since the inception of computational chemistry, its practitioners have imagined the ability to predi...
AbstractOrganic molecules can crystallize in multiple structures or polymorphs, yielding crystals wi...
Computational methods used for predicting the crystal structures of organic compounds are mature eno...
Crystal structure prediction methods have been used to explore the potential energy landscape for cr...
Molecular simulation is increasingly used by medicinal chemists in the process and product developme...
Organic molecules, such as pharmaceuticals, agro-chemicals and pigments, frequently form several cry...
We combine state-of-the-art computational crystal structure prediction (CSP) techniques with a wide ...
A computational exploration of the low energy crystal structures of the pharmaceutical molecule phen...
The knowledge of the packing behaviour of small organic compounds in crystal lattices is of great im...
The sixth blind test of organic crystal structure prediction (CSP) methods has been held, with five ...
peer reviewedReliable prediction of the polymorphic energy landscape of a molecular crystal would yi...
The sixth blind test of organic crystal structure prediction (CSP) methods has been held, with five ...
The ab initio prediction of molecular crystal structures is a scientific challenge. Reliability of f...
The ability to predict the properties of a crystal structure before any empirical analysis or labora...
No AbstractPeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/64302/1/8657_ftp.pd
Since the inception of computational chemistry, its practitioners have imagined the ability to predi...
AbstractOrganic molecules can crystallize in multiple structures or polymorphs, yielding crystals wi...
Computational methods used for predicting the crystal structures of organic compounds are mature eno...
Crystal structure prediction methods have been used to explore the potential energy landscape for cr...
Molecular simulation is increasingly used by medicinal chemists in the process and product developme...
Organic molecules, such as pharmaceuticals, agro-chemicals and pigments, frequently form several cry...
We combine state-of-the-art computational crystal structure prediction (CSP) techniques with a wide ...
A computational exploration of the low energy crystal structures of the pharmaceutical molecule phen...
The knowledge of the packing behaviour of small organic compounds in crystal lattices is of great im...
The sixth blind test of organic crystal structure prediction (CSP) methods has been held, with five ...
peer reviewedReliable prediction of the polymorphic energy landscape of a molecular crystal would yi...
The sixth blind test of organic crystal structure prediction (CSP) methods has been held, with five ...
The ab initio prediction of molecular crystal structures is a scientific challenge. Reliability of f...
The ability to predict the properties of a crystal structure before any empirical analysis or labora...
No AbstractPeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/64302/1/8657_ftp.pd
Since the inception of computational chemistry, its practitioners have imagined the ability to predi...