README.md

---
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={Journal of Chemical Information and Modeling},
  year={2024},
  publisher={ACS Publications}
}
```