LBM-EPFL/CARBonAra
Deep learning framework for protein sequence design from a backbone scaffold that can leverage the molecular context including non-protein entities.
This tool helps protein engineers design new protein sequences for a given structural backbone. You provide a protein structure (a PDB file), and it generates a list of potential amino acid sequences that fit that structure, considering the surrounding molecular environment like ligands or other proteins. It's for researchers and scientists in protein engineering, synthetic biology, and drug discovery who need to modify or create proteins with specific functions.
Use this if you need to design novel protein sequences for a known protein scaffold, especially when the protein needs to interact with other molecules or exist within a complex molecular environment.
Not ideal if you are looking for a tool to predict protein structures from sequences, or if you need to design proteins entirely from scratch without a structural backbone.
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48
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10
Language
Jupyter Notebook
License
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Category
Last pushed
Nov 04, 2025
Commits (30d)
0
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