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DESTINI: A deep-learning approach to contact-driven protein structure prediction

The amino acid sequence of a protein encodes the blueprint of its native structure. To predict the corresponding structural fold from the protein’s sequence is one of most challenging problems in computational biology. In this work, we introduce DESTINI (deep structural inference for proteins), a no...

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Bibliografski detalji
Izdano u:Sci Rep
Glavni autori: Gao, Mu, Zhou, Hongyi, Skolnick, Jeffrey
Format: Artigo
Jezik:Inglês
Izdano: Nature Publishing Group UK 2019
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6401133/
https://ncbi.nlm.nih.gov/pubmed/30837676
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-40314-1
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