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--- |
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license: apache-2.0 |
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task_categories: |
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- text-classification |
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tags: |
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- protein |
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- downstream task |
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--- |
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# PETA_LGK_Sol Dataset |
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|
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- Description: Solubility mutation dataset. |
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- Number of labels: 1 |
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- Problem Type: regression |
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- Columns: |
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- aa_seq: protein amino acid sequence |
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# Github |
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PETA: evaluating the impact of protein transfer learning with sub-word tokenization on downstream applications |
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https://github.com/ginnm/ProteinPretraining |
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# Citation |
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Please cite our work if you use our dataset. |
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``` |
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@article{tan2024peta, |
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title={PETA: evaluating the impact of protein transfer learning with sub-word tokenization on downstream applications}, |
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author={Tan, Yang and Li, Mingchen and Zhou, Ziyi and Tan, Pan and Yu, Huiqun and Fan, Guisheng and Hong, Liang}, |
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journal={Journal of Cheminformatics}, |
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volume={16}, |
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number={1}, |
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pages={92}, |
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year={2024}, |
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publisher={Springer} |
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} |
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``` |
