CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction
Protein structure prediction is a challenge. A new deep learning framework, CopulaNet, is a major step forward toward end-to-end prediction of inter-residue distances and protein tertiary structures with improved accuracy and efficiency.
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2021-05-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-021-22869-8 |