ProteinNet
Emerging3papers using it
2022first seen
'ProteinNet' is a benchmark dataset used to evaluate protein secondary structure prediction models by providing a comprehensive collection of protein sequences and their corresponding secondary structure annotations.
Papers using ProteinNet (3)
- Hybrid deep learning model (E2BNet) combining ESM2 and BiLSTM for 8-state protein secondary structure predictionCryo-SWAN: the Multi-Scale Wavelet-decomposition-inspired Autoencoder Network for molecular density representation of molecular volumesMultiscale Graph Neural Networks for Protein Residue Contact Map
Prediction