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Deep learning approaches for conformational flexibility and switching properties in protein design
Following the hugely successful application of deep learning methods to protein structure prediction, an increasing number of design methods seek to leverage generative models to design proteins with improved functionality over native proteins or novel structure and function. The inherent flexibilit...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399439/ https://www.ncbi.nlm.nih.gov/pubmed/36032687 http://dx.doi.org/10.3389/fmolb.2022.928534 |