Bayesian optimization for conformer generation
Generating low-energy molecular conformers is a key task for many areas of computational chemistry, molecular modeling and cheminformatics. Most current conformer generation methods primarily focus on generating geometrically diverse conformers rather than finding the most probable or energetically...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
SpringerOpen
2019
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