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@@ -6,16 +6,20 @@ library_name: peft
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  # Model Card for Model ID
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  <!-- Provide a quick summary of what the model is/does. -->
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- This model is used to predict mutation fitness score of protein DLG4_RAT (Disks large homolog 4). 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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  in hippocampal neurons. May reduce the amplitude of ASIC3 acid-evoked currents by retaining the channel intracellularly.
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  May regulate the intracellular trafficking of ADR1B.
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  ### Task type
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  protein level regression
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  ### Dataset description
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  The dataset is from [Deep generative models of genetic variation capture the effects of mutations](https://www.nature.com/articles/s41592-018-0138-4).
 
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  ### Model input type
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  Amino acid sequence
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  ### Performance
 
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  # Model Card for Model ID
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  <!-- Provide a quick summary of what the model is/does. -->
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+ This model is trained on a sigle site deep mutation scanning dataset and can be used to predict fitness score of protein DLG4_RAT (Disks large homolog 4) mutations.
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+
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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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  in hippocampal neurons. May reduce the amplitude of ASIC3 acid-evoked currents by retaining the channel intracellularly.
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  May regulate the intracellular trafficking of ADR1B.
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+
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  ### Task type
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  protein level regression
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  ### Dataset description
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  The dataset is from [Deep generative models of genetic variation capture the effects of mutations](https://www.nature.com/articles/s41592-018-0138-4).
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+ And can also be found on [SaprotHub dataset]()
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  ### Model input type
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  Amino acid sequence
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  ### Performance