OpenProteinAI/PoET
Inference code for PoET: A generative model of protein families as sequences-of-sequences
This tool helps protein engineers and researchers predict the functional impact of different protein sequence variations. You provide a multiple sequence alignment (MSA) of related protein sequences and a list of new protein variants, and it outputs fitness scores indicating how well each variant is likely to perform. This is for biologists or biochemists who need to understand how changes in a protein's sequence affect its properties without extensive lab work.
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Use this if you need to quickly assess the functional fitness of many protein variants based on sequence data, without conducting wet-lab experiments for each one.
Not ideal if you don't have access to an NVIDIA GPU or if your work requires experimental validation for every variant.
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93
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Language
Python
License
MIT
Category
Last pushed
Apr 24, 2024
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