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language: |
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- en |
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metrics: |
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- accuracy |
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- AUC ROC |
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- precision |
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- recall |
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tags: |
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- biology |
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- chemistry |
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- therapeutic science |
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- drug design |
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- drug development |
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- therapeutics |
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library_name: tdc |
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license: bsd-2-clause |
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--- |
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The TDC Transformers APi is still under development. You may download PINNACLE pre-trained weights and hyperparameters from the files included. |
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## Model description |
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We introduce PINNACLE, a flexible geometric deep-learning approach that is trained on contextualized protein interaction networks to generate context-PINNACLE protein representations. Leveraging a human multi-organ single-cell transcriptomic atlas, PINNACLE provides 394,760 protein representations split across 156 cell type contexts from 24 tissues and organs. |
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To load the pre-trained model, use the Files and Versions tab files. |
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## References |
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* Dataset entry in Therapeutics Data Commons, https://tdcommons.ai/multi_pred_tasks/scdti/ |
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* Li, Michelle, et al. “Contextual AI models for single-cell protein biology” Nature Methods (2024) |
