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@@ -11,9 +11,9 @@ tags:
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  - transformers
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  ---
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- # BindScreen Finetuning
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- This model corresponds to the BinScreen finetuning configuration, in which ESM2 T36 and the projection layers are trained on filtered ChEMBL.
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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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@@ -27,10 +27,12 @@ BindScreen uses a dual-encoder architecture that independently encodes proteins
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  ![Model](pipeline.png)
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- 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, MolDeBERTa MLC is frozen.
 
 
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  ## Usage
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@@ -59,7 +61,7 @@ backbone = AutoModel.from_pretrained(
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  )
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  backbone = PeftModel.from_pretrained(
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  backbone,
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- 'SaeedLab/BindScreen-lora'
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  ).eval()
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  - transformers
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  ---
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+ # BindScreen Finetuning LIT-PCBA
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+ This model corresponds to the BinScreen finetuning configuration, in which ESM2 T36 and the projection layers are trained on filtered ChEMBL for LIT-PCBA.
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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](pipeline.png)
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+ Four configurations are available in this collection:
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+ - [BindScreen-Frozen-LIT_PCBA](https://huggingface.co/SaeedLab/BindScreen-Frozen-LIT_PCBA): only the projection layers are trained, both encoders are frozen. LIT-PCBA.
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+ - [BindScreen-Finetuning-LIT_PCBA](https://huggingface.co/SaeedLab/BindScreen-Finetuning-LIT_PCBA): the projection layers and ESM2 T36 are trained, MolDeBERTa MLC is frozen. LIT-PCBA.
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+ - [BindScreen-Frozen-DUDE](https://huggingface.co/SaeedLab/BindScreen-Frozen-LIT_PCBA): only the projection layers are trained, both encoders are frozen. DUDE.
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+ - [BindScreen-Finetuning-DUDE](https://huggingface.co/SaeedLab/BindScreen-Finetuning-LIT_PCBA): the projection layers and ESM2 T36 are trained, MolDeBERTa MLC is frozen. DUDE.
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  ## Usage
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  )
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  backbone = PeftModel.from_pretrained(
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  backbone,
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+ 'SaeedLab/BindScreen-lora-LIT_PCBA'
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  ).eval()
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