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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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|
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# GO-CC Dataset with AlphaFold2 Structural Sequence |
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- Description: Cellular Component of Gene Ontology (GO) project. |
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- Number of labels: 320 |
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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={arXiv preprint arXiv:2404.14850}, |
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year={2024} |
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} |
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``` |
