AmelieSchreiber
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esm2_t12_35M_lora_binding_sites_v2_cp3

Token Classification

protein language model

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AmelieSchreiber commited on Sep 14, 2023

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 # ESM-2 for Binding Site Prediction
-This model *may be* SOTA compared to [these SOTA structural models](https://www.biorxiv.org/content/10.1101/2023.08.11.553028v1).
 One of the primary goals in training this model is to prove the viability of using simple, single sequence only protein language models
 for binary token classification tasks like predicting binding and active sites of protein sequences based on sequence alone. This project
 is also an attempt to make deep learning techniques like LoRA more accessible and to showcase the competative or even superior performance

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 # ESM-2 for Binding Site Prediction
+This model *may be* close to SOTA compared to [these SOTA structural models](https://www.biorxiv.org/content/10.1101/2023.08.11.553028v1).
 One of the primary goals in training this model is to prove the viability of using simple, single sequence only protein language models
 for binary token classification tasks like predicting binding and active sites of protein sequences based on sequence alone. This project
 is also an attempt to make deep learning techniques like LoRA more accessible and to showcase the competative or even superior performance