|
--- |
|
license: apache-2.0 |
|
task_categories: |
|
- text-classification |
|
tags: |
|
- protein |
|
- downstream task |
|
--- |
|
|
|
# DeepLocMulti Dataset with AlphaFold2 Structural Sequence |
|
|
|
- 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 |
|
- foldseek_seq: foldseek 20 3di structural sequence |
|
- ss8_seq: DSSP 8 secondary structure 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} |
|
} |
|
``` |