task_categories:text-classification license:apache-2.0 size_categories:10K<n<100K format:csv modality:text library:datasets library:pandas library:mlcroissant library:polars region:us protein downstream task
---
license: apache-2.0
task_categories:
- text-classification
tags:
- protein
- downstream task
---

# DeepLocMulti Dataset

- Description: Protein localization encompasses the processes that establish and maintain proteins at specific locations.
- Number of labels: 10
- Problem Type: single_label_classification
- Columns:
  - aa_seq: protein amino acid sequence
  - location: Specific location

# 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}
}
```