Deep ResNet models for template-free protein modeling
Published: 23 March 2021| Version 1 | DOI: 10.17632/5dj63g5xdv.1
Contributor:
Jinbo XuDescription
This data contains two sets of deep ResNet models for RaptorX-3DModeling. One set of models is used for the prediction of backbone phi, psi angles and the other set of models is used for the prediction of inter-atom distance and orientation probability distribution. The RaptorX-3DModeling package itself is available at https://github.com/j3xugit/RaptorX-3DModeling
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Categories
De Novo Protein Structure Prediction, Computational Modeling of Protein, Deep Learning