|
---
|
|
license: mit
|
|
---
|
|
# Description
|
|
Structural Class Prediction is a multi-class classification task to predict the correct structural class of given protein. This task is is built on the SCOP database.
|
|
|
|
# Splits
|
|
|
|
**Structure type:** PDB
|
|
|
|
The dataset is from [**ProteinShake Building datasets and benchmarks for deep learning on protein structures**](https://academic.oup.com/bioinformatics/article/33/21/3387/3931857). We use the splits based on 70% structure similarity, with the number of training, validation and test set shown below:
|
|
|
|
- Train: 7990
|
|
- Valid: 955
|
|
- Test: 1005
|
|
|
|
# Data format
|
|
|
|
We organize all data in LMDB format. The architecture of the databse is like:
|
|
|
|
**length:** The number of samples
|
|
|
|
**0:**
|
|
|
|
- **name:** The PDB ID of the protein
|
|
- **chain:** The chain ID of the protein
|
|
- **seq:** The structure-aware sequence
|
|
- **plddt**: pLDDT values at all positions
|
|
- **label:** classification label of the sequence
|
|
|
|
**1:**
|
|
|
|
**···** |