Tesorai Search
Pioneering the future of proteomics with AI-powered insights from raw mass-spectrometry data
Proteomics: Bridging Genes to Phenotypes
Proteomics and mass spectrometry data is instrumental in discovery efforts but can be challenging to interpret
Informative
In multiple multi-modal biomarker discovery efforts (in various indications), plasma or tissue proteomics comes up as the most informative data type
Core Component
Unlike genomics and transcriptomics that represent cellular blueprint, proteins are the main functional units that carry out cellular functions
Versatile
Proteomics with mass spectrometry can be used in many different applications, from target identification, drug discovery, to outcome prediction
Proteomics and mass spectrometry data is instrumental in discovery efforts but can be challenging to interpret
Imprecise quantification
Intensities of low-abundance proteins can be off by orders of magnitude.
Slow computation
Current tools are designed to work on workstations with limited compute power, creating significant bottlenecks in labs.
High false discovery
Searching highly complex samples further reduces the identification rate
Incomplete and inaccurate protein identification
Existing workstation-based software are comprised of algorithms that often miss out on identifying proteins or analytes in a sample.
Advanced deep learning approaches dramatically increase insight generation by leveraging external datasets to amplify insights from localized datasets
Tesorai’s early AI model significantly increases accuracy of processing proteomics data compared to current approaches
Significant increase in peptide-spectrum matches*
* evaluated on a left-out organism and PRIDE project (Arabidopsis thaliana)
Massive reduction in false-negative identification*
* This evaluation is performed on the ProteomeTools dataset (a set of chemically synthesized peptides)
** This rate represents an identification rate of 92%
Easy to use
Drag-n-drop your raw file(s)
Download the results
Integrate seamlessly with analysis pipelines
Test with your sample
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