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---

license: apache-2.0
task_categories:
- text-classification
tags:
- protein
- downstream task
---


# GO-CC Dataset

- Description: Cellular Component of Gene Ontology (GO) project.
- Number of labels: 320
- Problem Type: multi_label_classification
- Columns:
  - aa_seq: protein amino acid 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}

}

```