CONFPASS (Conformer Prioritizations and Analysis for DFT re-optimizations) has been developed to extract dihedral angle descriptors from conformational searching outputs, perform clustering, and return a priority list for density functional theory (DFT) re-optimizations. Evaluations were conducted with DFT data of the conformers for 150 structurally diverse molecules, most of which are flexible. CONFPASS gives a confidence estimate that the global minimum structure has been found, and based on our dataset, we can have 90% confidence after optimizing half of the FF structures. Re-optimizing conformers in order of the FF energy often generates duplicate results; using CONFPASS, the duplication rate is reduced by a factor of 2 for the first 30% of the re-optimizations, which include the global minimum structure about 80% of the time.
CONFPASS: Fast DFT Re-Optimizations of Structures from Conformation Searches.
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作者:Lam Ching Ching, Goodman Jonathan M
| 期刊: | Journal of Chemical Information and Modeling | 影响因子: | 5.300 |
| 时间: | 2023 | 起止号: | 2023 Jul 24; 63(14):4364-4375 |
| doi: | 10.1021/acs.jcim.3c00649 | ||
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