Fill-Mask
Transformers
PyTorch
esm
TianlaiChen commited on
Commit
7025de9
·
1 Parent(s): a15ead1

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -3
README.md CHANGED
@@ -2,9 +2,7 @@
2
  license: mit
3
  ---
4
 
5
- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63df6223f351dc0745681f77/wnyIjhui5eXztEfPsEsWb.png)
6
-
7
- **PepMLM: Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling**
8
 
9
  In this work, we introduce **PepMLM**, a purely target sequence-conditioned *de novo* generator of linear peptide binders.
10
  By employing a novel masking strategy that uniquely positions cognate peptide sequences at the terminus of target protein sequences,
 
2
  license: mit
3
  ---
4
 
5
+ **<img src="logo.png" alt="Logo" width="100" height="50"/>PepMLM: Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling**
 
 
6
 
7
  In this work, we introduce **PepMLM**, a purely target sequence-conditioned *de novo* generator of linear peptide binders.
8
  By employing a novel masking strategy that uniquely positions cognate peptide sequences at the terminus of target protein sequences,