|
--- |
|
license: apache-2.0 |
|
task_categories: |
|
- text-classification |
|
tags: |
|
- protein |
|
- downstream task |
|
--- |
|
|
|
# Thermostability Dataset with ESMFold 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 |
|
|
|
VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning |
|
|
|
https://github.com/ai4protein/VenusFactory |
|
|
|
# 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} |
|
} |
|
|
|
@article{tan2025venusfactory, |
|
title={VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning}, |
|
author={Tan, Yang and Liu, Chen and Gao, Jingyuan and Wu, Banghao and Li, Mingchen and Wang, Ruilin and Zhang, Lingrong and Yu, Huiqun and Fan, Guisheng and Hong, Liang and Zhou, Bingxin}, |
|
journal={arXiv preprint arXiv:2503.15438}, |
|
year={2025} |
|
} |
|
``` |
