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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...
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| Publicado no: | PeerJ |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
PeerJ Inc.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7144620/ https://ncbi.nlm.nih.gov/pubmed/32292649 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.8864 |
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