Fill-Mask
Transformers
PyTorch
esm
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@@ -27,7 +27,7 @@ achieving low perplexities matching or improving upon previously-validated pepti
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  After successful *in silico* benchmarking with AlphaFold-Multimer, we experimentally verify PepMLM’s efficacy via fusion of model-derived peptides to E3 ubiquitin ligase domains, demonstrating endogenous degradation of target substrates in cellular models.
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  In total, PepMLM enables the generative design of candidate binders to any target protein, without the requirement of target structure, empowering downstream programmable proteome editing applications.
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- - Demo: HuggingFace Space Demo [Link](https://huggingface.co/spaces/TianlaiChen/PepMLM).[Temporarily Unavailable]
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  - Colab Notebook: [Link](https://colab.research.google.com/drive/1u0i-LBog_lvQ5YRKs7QLKh_RtI-tV8qM?usp=sharing)
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  - Preprint: [Link](https://arxiv.org/abs/2310.03842)
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  - Nature Biotechnology: [Link](https://www.nature.com/articles/s41587-025-02761-2)
 
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  After successful *in silico* benchmarking with AlphaFold-Multimer, we experimentally verify PepMLM’s efficacy via fusion of model-derived peptides to E3 ubiquitin ligase domains, demonstrating endogenous degradation of target substrates in cellular models.
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  In total, PepMLM enables the generative design of candidate binders to any target protein, without the requirement of target structure, empowering downstream programmable proteome editing applications.
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+ - Demo: HuggingFace Space Demo [Link](https://huggingface.co/spaces/TianlaiChen/PepMLM).
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  - Colab Notebook: [Link](https://colab.research.google.com/drive/1u0i-LBog_lvQ5YRKs7QLKh_RtI-tV8qM?usp=sharing)
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  - Preprint: [Link](https://arxiv.org/abs/2310.03842)
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  - Nature Biotechnology: [Link](https://www.nature.com/articles/s41587-025-02761-2)