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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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# EC Dataset with ESMFold Structural Sequence |
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- Description: The Enzyme Commission number (EC number) is a numerical classification scheme for enzymes, based on the chemical reactions they catalyze. |
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- Number of labels: 585 |
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- Problem Type: multi_label_classification |
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- Columns: |
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- aa_seq: protein amino acid sequence |
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- foldseek_seq: foldseek 20 3di structural sequence |
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- ss8_seq: DSSP 8 secondary structure sequence |
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# Github |
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Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models |
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https://github.com/tyang816/SES-Adapter |
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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{tan2024ses-adapter, |
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title={Simple, Efficient, and Scalable Structure-Aware Adapter Boosts Protein Language Models}, |
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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}, |
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journal={Journal of Chemical Information and Modeling}, |
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year={2024}, |
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publisher={ACS Publications} |
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} |
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``` |
