CoDock-Ligand: combined template-based docking and CNN-based scoring in ligand binding prediction
Abstract For ligand binding prediction, it is crucial for molecular docking programs to integrate template-based modeling with a precise scoring function. Here, we proposed the CoDock-Ligand docking method that combines template-based modeling and the GNINA scoring function, a Convolutional Neural N...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2023-11-01
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| Colecção: | BMC Bioinformatics |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1186/s12859-023-05571-y |
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