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Published on: April 8, 2020
Overcoming the difficulties of predicting conformational polymorph energetics in molecular crystals via correlated
Chandler Greenwell1, Jessica L McKinley1, Peiyu Zhang2
1Department of Chemistry , University of California , Riverside , California 92521 , USA . Email: gregory.beran@ucr.edu ; Tel: +1-951-827-7869.
Density functional theory (DFT) struggles with predicting polymorph stability for flexible pharmaceutical molecules. A fragment-based MP2D method accurately predicts conformational polymorph stabilities, improving reliability.
Area of Science:
- Solid-state chemistry
- Computational chemistry
- Crystallography
Background:
- Molecular crystal structure prediction is vital for pharmaceuticals.
- Current density functional theory (DFT) methods fail for conformational polymorphism.
- Conformational polymorphism arises from intramolecular changes affecting crystal packing.
Purpose of the Study:
- To evaluate DFT performance in predicting conformational polymorph stabilities.
- To investigate the accuracy of fragment-based MP2D methods for these systems.
- To identify reliable methods for crystal structure prediction of flexible molecules.
Main Methods:
- Examined conformational polymorph stabilities of o-acetamidobenzamide, ROY, and oxalyl dihydrazide.
- Assessed performance of van der Waals-inclusive DFT functionals.
- Applied fragment-based dispersion-corrected second-order Møller-Plesset perturbation theory (MP2D).
Main Results:
- Standard DFT functionals showed significant failures in predicting polymorph stabilities.
- Failures were attributed to inaccurate intramolecular conformational energies and intermolecular descriptions.
- MP2D treatment successfully predicted conformational polymorph stabilities for all tested systems.
- MP2D results showed good agreement with experimental data.
Conclusions:
- Current DFT functionals are inadequate for reliable crystal polymorph stability prediction of flexible molecules.
- Fragment-based MP2D offers a more accurate approach for these challenging systems.
- Advanced computational methods are necessary for dependable crystal structure prediction in pharmaceutical research.
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