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

Understand

Accurate protein structure prediction from amino-acid sequences is critical to better understanding the protein 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).