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Template-based prediction of protein structure with deep learning.

Background: Accurate prediction of protein structure is fundamentally important to
understand biological function of proteins. Template-based modeling,
including protein threading and homology modeling, is a popular method for
protein tertiary structure prediction. However, accurate template-query
alignment and template selection are still very challenging, especially for
the proteins with only distant homologs available.

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