AI4Protein/DeepLocBinary_AlphaFold2

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

# DeepLocBinary Dataset with AlphaFold2 Structural Sequence

- Description: Protein localization encompasses the processes that establish and maintain proteins at specific locations.
- Number of labels: 2
- Problem Type: single_label_classification
- Columns:
- aa_seq: protein amino acid sequence
- foldseek_seq: foldseek 20 3di structural sequence
- ss8_seq: DSSP 8 secondary structure sequence
- location: On the membrane or not

# 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}
}
```

---
license: apache-2.0
task_categories:
- 文本分类
tags:
- 蛋白质
- 下游任务
---

# 含AlphaFold2结构序列的DeepLocBinary数据集

- 描述：蛋白质定位（Protein localization）涵盖了在特定位置建立和维持蛋白质的过程。
- 标签数量：2
- 问题类型：单标签分类（single-label classification）
- 列：
- aa_seq：蛋白质氨基酸序列
- foldseek_seq：foldseek 20 3di结构序列
- ss8_seq：DSSP 8级二级结构序列
- location：是否位于膜上

# Github

简单、高效且可扩展的结构感知适配器助力蛋白质语言模型

https://github.com/tyang816/SES-Adapter

# Citation
若使用本数据集，请引用我们的工作。

@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}
}