metadata

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

GO-CC Dataset with AlphaFold2 Structural Sequence

Description: Cellular Component of Gene Ontology (GO) project.
Number of labels: 320
Problem Type: multi_label_classification
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={arXiv preprint arXiv:2404.14850},
  year={2024}
}