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Accurate Prediction of Hydration Sites of Proteins Using Energy Model With Atom Embedding
We propose a method based on neural networks to accurately predict hydration sites in proteins. In our approach, high-quality data of protein structures are used to parametrize our neural network model, which is a differentiable score function that can evaluate an arbitrary position in 3D structures...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8488165/ https://www.ncbi.nlm.nih.gov/pubmed/34616774 http://dx.doi.org/10.3389/fmolb.2021.756075 |