利用深度学习基于模板的蛋白质结构预测.

背景: 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. 然而, accurate template-query
alignment and template selection are still very challenging, especially for
the proteins with only distant homologs available.