BoHuangLab/Protein-Localization-Transformer
Code for CELL-E: Biological Zero-Shot Text-to-Image Synthesis for Protein Localization Prediction
This project helps biologists predict where a protein will go inside a cell based on its amino acid sequence. You input a protein's sequence (and optionally, an image of the cell's nucleus), and it generates an image showing the likely location of that protein within the cell. This is useful for cell biologists and researchers studying protein function and cellular processes.
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Use this if you need to predict the subcellular localization of proteins based on their sequence, especially for novel or uncharacterized proteins.
Not ideal if you are looking for a simple, out-of-the-box prediction tool without any coding or machine learning model training.
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29
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4
Language
Python
License
MIT
Category
Last pushed
Oct 01, 2023
Commits (30d)
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