HIGHLIGHTS
- who: Inter-Residue Distance Prediction et al. from the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, University of Chinese Academy have published the Article: Inter-Residue Distance Prediction From Duet Deep Learning Models, in the Journal: (JOURNAL)
- what: The authors develop a method based on deep residual convolutional neural_network, named DuetDis, to predict the full-length multiclass distance map from a sequence. The authors assess the performance of DuetDis from different perspectives. The authors propose DuetDis, which uses duet deep learning models for distance prediction.
- how: The precision of . . .
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