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README.md
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I agree to use this model for non-commercial use ONLY: checkbox
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---
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**PepMLM: Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling**
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In this work, we introduce **PepMLM**, a purely target sequence-conditioned *de novo* generator of linear peptide binders.
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By employing a novel masking strategy that uniquely positions cognate peptide sequences at the terminus of target protein sequences,
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PepMLM tasks the state-of-the-art ESM-2 pLM to fully reconstruct the binder region,
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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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```
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# Load model directly
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I agree to use this model for non-commercial use ONLY: checkbox
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---
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**PepMLM: Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling**
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+
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+
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In this work, we introduce **PepMLM**, a purely target sequence-conditioned *de novo* generator of linear peptide binders.
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By employing a novel masking strategy that uniquely positions cognate peptide sequences at the terminus of target protein sequences,
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PepMLM tasks the state-of-the-art ESM-2 pLM to fully reconstruct the binder region,
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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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```
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# Load model directly
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