Tsinghua University Releases ProtCell for Reproducing Virtual Cell Pre-training

The research group led by Jiang Rui from the Department of Automation at Tsinghua University has released the foundational model ProtCell, completing the paper "ProtCell: a foundation model for single-cell proteomics." This model integrates approximately 380 million cells and 98 publicly available datasets for pre-training and evaluation, enabling precise mapping of cell states and inferring unmeasured protein expressions, providing crucial support for drug development and virtual cell construction. The paper reveals that the team successfully completed the full-process pre-training reproduction of ProtCell on the Moores Threads flagship AI training and inference integrated computing card MTT S5000, with the main quantitative evaluation metrics differing by only about 0.2% from international mainstream GPU platforms, validating the high carrying capacity of Moores Threads' fully functional GPU and the MUSA full-stack software ecosystem for foundational models in life sciences.

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