We developed PINNACLE, a graph-based AI model for learning protein representations across cell-type contexts. These contextualized protein representations enable the integration of 3D protein structure with single-cell genomic-based representations to enhance protein–protein interaction prediction, analysis of drug effects across cell-type contexts, and prediction of therapeutic targets in a cell type-specific manner.
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This is a summary of: Li, M. M. et al. Contextual AI models for single-cell protein biology. Nat. Methods https://doi.org/10.1038/s41592-024-02341-3 (2024)
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Contextual AI models for context-specific prediction in biology. Nat Methods 21, 1420–1421 (2024). https://doi.org/10.1038/s41592-024-02342-2
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DOI: https://doi.org/10.1038/s41592-024-02342-2
