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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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Bibliografske podrobnosti
izdano v:Cell Syst
Glavni avtor: AlQuraishi, Mohammed
Format: Artigo
Jezik:Inglês
Izdano: 2019
Teme:
Online dostop: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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