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+ ---
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+ license: apache-2.0
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+ datasets:
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+ - Oxer11/Protein-Function-Annotation
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+ language:
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+ - en
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+ tags:
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+ - Protein Langauge Model
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+ - AI for Drug Discovery
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+ - AI for Science
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+ ---
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+
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+ # ESM-S
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+
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+ ESM-S (https://arxiv.org/abs/2402.05856) is a series of structure-informed protein language models, which are trained on remote homology detection tasks for distilling structural information.
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+ The corresponding datasets can be downloaded at https://huggingface.co/datasets/Oxer11/Protein-Function-Annotation.
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+ The codebase can be found at https://github.com/DeepGraphLearning/esm-s.
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+
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+ ![Training](./asset/training.png)
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+
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+ # Evaluation Performance
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+
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+ Freezing model weights and train a 2-layer MLP on downstream function prediction tasks.
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+ ![Predictor](./asset/predictor.png)
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+
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+ Using ESM-S representations to retrieve similar proteins for function annotation.
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+ ![Retriever](./asset/retriever.png)
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+
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+ # BibTeX
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+ ```
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+ @article{zhang2024structureplm,
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+ title={Structure-Informed Protein Language Model},
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+ author={Zhang, Zuobai and Lu, Jiarui and Chenthamarakshan, Vijil and Lozano, Aurelie and Das, Payel and Tang, Jian},
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+ journal={arXiv preprint arXiv:2402.05856},
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+ year={2024}
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+ }
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+ ```
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