DeepDist: real-value inter-residue distance prediction with deep residual convolutional network

Background: Driven by deep learning, inter-residue contact/distance prediction has been significantly improved and substantially enhanced ab initio protein structure prediction. Currently, most of the distance prediction methods classify inter-residue distances into multiple distance intervals inste...

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Bibliographic Details
Main Authors:	Cheng, J. (Author), Guo, Z. (Author), Hou, J. (Author), Wu, T. (Author)
Format:	Article
Language:	English
Published:	BioMed Central Ltd 2021
Subjects:	algorithm Algorithms article biology chemistry Computational Biology Contact prediction Convolution Convolutional networks Convolutional neural networks deep learning Deep learning Distance intervals filtration Forecasting Inter-residue contact Mean square error Models, Molecular molecular model Multi-task learning Network architecture prediction Prediction methods protein Protein distance prediction Protein structure prediction protein tertiary structure Protein tertiary structures Proteins State-of-the-art methods Tertiary structures
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DeepDist: real-value inter-residue distance prediction with deep residual convolutional network

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