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@@ -16,6 +16,8 @@ Our models, pretrained with Uni-Mol, are designed to excel in diverse environmen
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  - **poc_pre_220816.pt**: This model is trained on 'protein pocket' related data, focusing on the interactions within molecular pockets. It's particularly useful for applications in drug discovery and enzyme activity prediction, where understanding the molecular interactions within pockets is essential.
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  ## GitHub Repository
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  For more detailed information about our models, including how to download, install, and use them in your projects, please visit our GitHub repository:
 
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  - **poc_pre_220816.pt**: This model is trained on 'protein pocket' related data, focusing on the interactions within molecular pockets. It's particularly useful for applications in drug discovery and enzyme activity prediction, where understanding the molecular interactions within pockets is essential.
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+ Additionally, for each `.pt` model file, there is a corresponding `*_dict.txt` file. These dictionary files are crucial as they map the model's features, ensuring accurate data interpretation and prediction.
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  ## GitHub Repository
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  For more detailed information about our models, including how to download, install, and use them in your projects, please visit our GitHub repository: