OpenProteinAI/PoET-2
Code and model weights for PoET-2, a retrieval-augmented multimodel protein language model for protein sequence generation and representation learning
This tool helps computational biologists and protein engineers predict how changes to a protein's amino acid sequence will affect its function. You provide a wild-type protein sequence, its structure, and a list of variant sequences, along with a multiple sequence alignment of related proteins. The tool then outputs numerical scores indicating the predicted functional impact of each variant.
No commits in the last 6 months.
Use this if you need to quickly assess the functional effects of numerous protein variants, such as in directed evolution experiments or for understanding disease-related mutations.
Not ideal if you don't have access to a Linux machine with an NVIDIA GPU or if you require direct structure prediction rather than variant effect scoring.
Stars
22
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 20, 2025
Commits (30d)
0
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