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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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-MF Dataset with ESMFold Structural Sequence
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+
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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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+
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+ # Github
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+
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+ Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models
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+
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+ https://github.com/tyang816/SES-Adapter
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+
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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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+ ```