PETA_TEM_Sol / README.md
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metadata
license: apache-2.0
task_categories:
  - text-classification
tags:
  - protein
  - downstream task

PETA_TEM_Sol Dataset

  • Description: Solubility mutation dataset.
  • Number of labels: 1
  • Problem Type: regression
  • Columns:
    • aa_seq: protein amino acid sequence

Github

PETA: evaluating the impact of protein transfer learning with sub-word tokenization on downstream applications

https://github.com/ginnm/ProteinPretraining

Citation

Please cite our work if you use our dataset.

@article{tan2024peta,
  title={PETA: evaluating the impact of protein transfer learning with sub-word tokenization on downstream applications},
  author={Tan, Yang and Li, Mingchen and Zhou, Ziyi and Tan, Pan and Yu, Huiqun and Fan, Guisheng and Hong, Liang},
  journal={Journal of Cheminformatics},
  volume={16},
  number={1},
  pages={92},
  year={2024},
  publisher={Springer}
}