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Prediction of hydrophilic and hydrophobic hydration structure of protein by neural network optimized using experimental data
The hydration structures of proteins, which are necessary for their folding, stability, and functions, were visualized using X-ray and neutron crystallography and transmission electron microscopy. However, complete visualization of hydration structures over the entire protein surface remains difficu...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905073/ https://www.ncbi.nlm.nih.gov/pubmed/36750742 http://dx.doi.org/10.1038/s41598-023-29442-x |