wallnerlab/AFsample2
Modelling protein conformational landscape with Alphafold
This tool helps structural biologists and biochemists better understand how proteins move and change shape. You provide a protein's amino acid sequence, and it generates multiple possible 3D structures, showing different conformational states. This allows researchers to explore a protein's dynamic behavior, which is crucial for drug discovery and understanding biological processes.
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Use this if you need to predict not just one, but a diverse set of possible 3D structures for a protein to understand its flexibility and functional states.
Not ideal if you only need a single, static prediction of a protein's structure or if you lack the computational resources for complex protein modeling.
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Jupyter Notebook
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Apache-2.0
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Last pushed
Aug 29, 2025
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