Corpus ID: 223956887

SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

@article{King2020SidechainNetAA,
  title={SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning},
  author={Jonathan E. King and D. Koes},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.08162}
}

Jonathan E. King, D. Koes

Published 2020

Computer Science, Biology

ArXiv

Despite recent advancements in deep learning methods for protein structure prediction and representation, little focus has been directed at the simultaneous inclusion and prediction of protein backbone and sidechain structure information. We present SidechainNet, a new dataset that directly extends the ProteinNet dataset. SidechainNet includes angle and atomic coordinate information capable of describing all heavy atoms of each protein structure. In this paper, we first provide background… CONTINUE READING

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