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End-to-end differentiable learning of protein structure
Predicting protein structure from sequence is a central challenge of biochemistry. Co-evolution methods show promise, but an explicit sequence-to-structure map remains elusive. Advances in deep learning that replace complex, human-designed pipelines with differentiable models optimized end-to-end su...
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| Publicado no: | Cell Syst |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6513320/ https://ncbi.nlm.nih.gov/pubmed/31005579 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cels.2019.03.006 |
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