Instructions to use SaProtHub/Model-DMS_DLG4_RAT-35M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SaProtHub/Model-DMS_DLG4_RAT-35M with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("westlake-repl/SaProt_35M_AF2") model = PeftModel.from_pretrained(base_model, "SaProtHub/Model-DMS_DLG4_RAT-35M") - Notebooks
- Google Colab
- Kaggle
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README.md
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This model is trained on a sigle site deep mutation scanning dataset and
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can be used to predict fitness score of mutant amino acid sequence of protein [DLG4_RAT](https://www.uniprot.org/uniprotkb/P31016/entry) (Disks large homolog 4).
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## Function
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Postsynaptic scaffolding protein that plays a critical role in synaptogenesis and synaptic plasticity by providing a platform for the postsynaptic clustering of crucial synaptic proteins.
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Interacts with the cytoplasmic tail of NMDA receptor subunits and shaker-type potassium channels.
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Required for synaptic plasticity associated with NMDA receptor signaling. Overexpression or depletion of DLG4 changes the ratio of excitatory to inhibitory synapses
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This model is trained on a sigle site deep mutation scanning dataset and
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can be used to predict fitness score of mutant amino acid sequence of protein [DLG4_RAT](https://www.uniprot.org/uniprotkb/P31016/entry) (Disks large homolog 4).
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## Protein Function
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Postsynaptic scaffolding protein that plays a critical role in synaptogenesis and synaptic plasticity by providing a platform for the postsynaptic clustering of crucial synaptic proteins.
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| 14 |
Interacts with the cytoplasmic tail of NMDA receptor subunits and shaker-type potassium channels.
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| 15 |
Required for synaptic plasticity associated with NMDA receptor signaling. Overexpression or depletion of DLG4 changes the ratio of excitatory to inhibitory synapses
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