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...

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Detalles Bibliográficos
Autores principales: Huang, Pin, Xing, Haoming, Zou, Xun, Han, Qi, Liu, Ke, Sun, Xiangyan, Wu, Junqiu, Fan, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Molecular Biosciences
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

Internet

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

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