DeepBindPoc : a deep learning method to rank ligand binding pockets using molecular vector representation
Accurate identification of ligand-binding pockets in a protein is important for structure-based drug design. In recent years, several deep learning models were developed to learn important physical-chemical and spatial information to predict ligand-binding pockets in a protein. However, ranking the...
| Główni autorzy: | , , , , , , |
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| Kolejni autorzy: | |
| Format: | Journal Article |
| Język: | English |
| Wydane: |
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | https://hdl.handle.net/10356/145360 |