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@@ -15,11 +15,11 @@ base_model: facebook/esm2_t36_3B_UR50D
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  library_name: peft
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  ---
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- # BindScreen - ESM2 LoRA Adapter
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- This repository contains the LoRA adapter weights for the protein encoder used in BindScreen, trained on filtered ChEMBL. BindScreen is a sequence-based virtual screening method built on a dual-encoder contrastive architecture. The adapter fine-tunes [ESM2 T36](https://huggingface.co/facebook/esm2_t36_3B_UR50D) on protein-molecule interaction task.
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- The projection layers are available separately at [SaeedLab/BindScreen-Finetuning](https://huggingface.co/SaeedLab/BindScreen-Finetuning), which also contains the full model description, architecture diagram, and usage examples.
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  \[[Github Repo](https://github.com/pcdslab/BindScreen)\] | \[[Dataset on HuggingFace](https://huggingface.co/datasets/SaeedLab/BindScreen)\] | \[[Model Collection](https://huggingface.co/collections/SaeedLab/bindscreen)\] | \[[Cite](#citation)\]
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  ## Model Details
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- This adapter corresponds to the **BindScreen-Finetuning** configuration, in which ESM2 T36 is fine-tuned via LoRA alongside the projection layers. Two configurations are available in this collection:
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- - [BindScreen-Frozen](https://huggingface.co/SaeedLab/BindScreen-Frozen): only the projection layers are trained, both encoders are frozen.
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- - [BindScreen-Finetuning](https://huggingface.co/SaeedLab/BindScreen-Finetuning): the projection layers and ESM2 T36 are trained via LoRA, MolDeBERTa MLC is frozen.
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  ## Usage
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- This adapter must be used together with [SaeedLab/BindScreen-Finetuning](https://huggingface.co/SaeedLab/BindScreen-Finetuning), which provides the projection layers. The full usage example, including molecule encoding and similarity computation, is available in that repository.
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  ### Dependencies
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  library_name: peft
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  ---
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+ # BindScreen - ESM2 LoRA Adapter - LIT-PCBA
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+ This repository contains the LoRA adapter weights for the protein encoder used in BindScreen, trained on filtered ChEMBL for LIT-PCBA. BindScreen is a sequence-based virtual screening method built on a dual-encoder contrastive architecture. The adapter fine-tunes [ESM2 T36](https://huggingface.co/facebook/esm2_t36_3B_UR50D) on protein-molecule interaction task.
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+ The projection layers are available separately at [SaeedLab/BindScreen-Finetuning-LIT_PCBA](https://huggingface.co/SaeedLab/BindScreen-Finetuning-LIT_PCBA), which also contains the full model description, architecture diagram, and usage examples.
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  \[[Github Repo](https://github.com/pcdslab/BindScreen)\] | \[[Dataset on HuggingFace](https://huggingface.co/datasets/SaeedLab/BindScreen)\] | \[[Model Collection](https://huggingface.co/collections/SaeedLab/bindscreen)\] | \[[Cite](#citation)\]
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  ## Model Details
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+ This adapter corresponds to the **BindScreen-Finetuning-LIT_PCBA** configuration, in which ESM2 T36 is fine-tuned via LoRA alongside the projection layers.
 
 
 
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  | Field | Value |
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  |---|---|
 
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  ## Usage
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+ This adapter must be used together with [SaeedLab/BindScreen-Finetuning-LIT_PCBA](https://huggingface.co/SaeedLab/BindScreen-Finetuning-LIT_PCBA), which provides the projection layers. The full usage example, including molecule encoding and similarity computation, is available in that repository.
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  ### Dependencies
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