• Corpus ID: 234357669

EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models

@article{Wu2021EBMFoldFP,
  title={EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models},
  author={Jiaxiang Wu and Shitong Luo and Tao Shen and Haidong Lan and Sheng Wang and Junzhou Huang},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.04771}
}
Accurate protein structure prediction from amino-acid sequences is critical to better understanding proteins’ function. Recent advances in this area largely benefit from more precise inter-residue distance and orientation predictions, powered by deep neural networks. However, the structure optimization procedure is still dominated by traditional tools, e.g. Rosetta, where the structure is solved via minimizing a pre-defined statistical energy function (with optional prediction-based restraints… 

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