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Update README.md
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README.md
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@@ -9,6 +9,10 @@ landscapes as explained in [this post](https://huggingface.co/blog/AmelieSchreib
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protein pairs, which can be [found here](https://huggingface.co/datasets/AmelieSchreiber/pha_clustered_protein_complexes).
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This is a very new method for clustering protein-protein complexes.
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## Using the Model
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To use the model, we follow [this blog post](https://huggingface.co/blog/AmelieSchreiber/protein-binding-partners-with-esm2).
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Below we see how to use the model for ranking potential binders for a target protein of interest. The lower the MLM loss average,
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protein pairs, which can be [found here](https://huggingface.co/datasets/AmelieSchreiber/pha_clustered_protein_complexes).
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This is a very new method for clustering protein-protein complexes.
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Using the MLM loss to predict pairs of interacting proteins was inspired by [this paper](https://arxiv.org/abs/2308.07136). However,
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the authors do not finetune the models for this task. Thus we reasoned that improved performance on this method could be achieved
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by finetuning the model on pairs of interacting proteins.
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## Using the Model
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To use the model, we follow [this blog post](https://huggingface.co/blog/AmelieSchreiber/protein-binding-partners-with-esm2).
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Below we see how to use the model for ranking potential binders for a target protein of interest. The lower the MLM loss average,
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