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README.md
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---
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license: apache-2.0
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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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# GO-MF Dataset with ESMFold Structural Sequence
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- Description: Molecular Function of Gene Ontology (GO) project.
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- Number of labels: 489
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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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```
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