SidechainNet
Introduced by King et al. in SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning
SidechainNet is a protein structure prediction dataset that directly extends ProteinNet. Specifically, SidechainNet adds measurements for protein angles and coordinates that describe the complete, all-atom protein structure (backbone and sidechain, excluding hydrogens) instead of the protein backbone alone.
Source: https://github.com/jonathanking/sidechainnetPapers
| Paper | Code | Results | Date | Stars |
|---|
