Datasets:
File size: 1,232 Bytes
f3e2030 278e777 f3e2030 278e777 f3e2030 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 |
---
license: apache-2.0
task_categories:
- text-classification
tags:
- protein
- downstream task
---
# Thermostability Dataset with AlphaFold2 Structural Sequence
- Description: In materials science and molecular biology, thermostability is the ability of a substance to resist irreversible change in its chemical or physical structure, often by resisting decomposition or polymerization, at a high relative temperature.
- Number of labels: 1
- Problem Type: regression
- 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}
}
``` |