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README.md
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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
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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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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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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
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