Datasets:
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---
license: apache-2.0
task_categories:
- text-classification
tags:
- protein
- downstream task
---
# GO-CC Dataset with AlphaFold2 Structural Sequence
- Description: Cellular Component of Gene Ontology (GO) project.
- Number of labels: 320
- Problem Type: multi_label_classification
- Columns:
- aa_seq: protein amino acid sequence
- foldseek_seq: foldseek 20 3di structural sequence
- ss8_seq: DSSP 8 secondary structure sequence
# Github
Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models
https://github.com/tyang816/SES-Adapter
# Citation
Please cite our work if you use our dataset.
```
@article{tan2024ses-adapter,
title={Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models},
author={Tan, Yang and Li, Mingchen and Zhou, Bingxin and Zhong, Bozitao and Zheng, Lirong and Tan, Pan and Zhou, Ziyi and Yu, Huiqun and Fan, Guisheng and Hong, Liang},
journal={arXiv preprint arXiv:2404.14850},
year={2024}
}
``` |