metadata
language:
- en
metrics:
- accuracy
- AUC ROC
- precision
- recall
tags:
- biology
- chemistry
- therapeutic science
- drug design
- drug development
- therapeutics
library_name: tdc
license: bsd-2-clause
The TDC Transformers APi is still under development. You may download PINNACLE pre-trained weights and hyperparameters from the files included.
Model description
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. To load the pre-trained model, use the Files and Versions tab files.
References
- Dataset entry in Therapeutics Data Commons, https://tdcommons.ai/multi_pred_tasks/scdti/
- Li, Michelle, et al. “Contextual AI models for single-cell protein biology” Nature Methods (2024)