Publications

A new Tesorai preprint validates a proposed seven-protein blood biomarker panel for Alzheimer's staging by reanalyzing five independent brain proteomics cohorts, recovering a key biomarker, p-tau217, that was missing from the original studies.

Fine-tuning a single-cell foundation model on proteomics data matches or beats scaling to models over 40x larger — showing multimodal training can outperform parameter scaling alone.

Our collaborators at UCSF have deposited a preprint on bioRxiv describing how RNA editing reshapes the cephalopod proteome, using Tesorai to characterize thousands of recoding events at the peptide level.

Mass spectrometry (MS)-based proteomics enables high-throughput identification and quantification of proteins in complex biological systems.

Mass spectrometry (MS)-based proteomics is a poweful tool for high-throughput protein identification and quantification.

Accurate protein identification and quantification are central to extracting meaningful biological insights from mass spectrometry (MS)-based proteomics.

Our collaborators at NYU have deposited a preprint on bioRxiv describing the use of Tesorai for identifying cancer antigens that could be used for therapeutic targeting.

Tesorai Search is now peer-reviewed and published in the Journal of Molecular Biology, detailing the model's design and benchmarking against other leading proteomics search engines.