aws-samples/lm-gvp
LM-GVP: A Generalizable Deep Learning Framework for Protein Property Prediction from Sequence and Structure
This project helps biological researchers and biochemists predict protein characteristics like fluorescence, stability, and function. It takes a protein's amino acid sequence and its 3D structure as input, then outputs predictions about its properties. This is useful for anyone involved in protein engineering or drug development.
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Use this if you need to predict various properties of proteins based on their sequence and structure to accelerate research or development.
Not ideal if you are looking for a pre-trained, ready-to-use application without needing to set up and train deep learning models.
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Jupyter Notebook
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MIT-0
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Last pushed
Mar 04, 2024
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