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PepMLM-650M

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TianlaiChen commited on Jun 18, 2024

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@@ -17,7 +17,7 @@ extra_gated_fields:
   I agree to use this model for non-commercial use ONLY: checkbox
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 **PepMLM: Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling**
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/63df6223f351dc0745681f77/Ov_GhpwQHCFDQd7qK5oyq.png)
 In this work, we introduce **PepMLM**, a purely target sequence-conditioned *de novo* generator of linear peptide binders.
 By employing a novel masking strategy that uniquely positions cognate peptide sequences at the terminus of target protein sequences,
 PepMLM tasks the state-of-the-art ESM-2 pLM to fully reconstruct the binder region,

   I agree to use this model for non-commercial use ONLY: checkbox
 ---
 **PepMLM: Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling**
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63df6223f351dc0745681f77/hkKA0GttGY5l3oVcKf0bR.png)
 In this work, we introduce **PepMLM**, a purely target sequence-conditioned *de novo* generator of linear peptide binders.
 By employing a novel masking strategy that uniquely positions cognate peptide sequences at the terminus of target protein sequences,
 PepMLM tasks the state-of-the-art ESM-2 pLM to fully reconstruct the binder region,