Immunopeptidomics

Find the antigens that matter, faster

Search immunopeptidomics data with the sensitivity and scale to uncover tumor-specific, non-canonical, and pathogen-derived antigens that standard proteomics pipelines can miss.

Candidate peptides converging on a confirmed HLA-presented antigen

Why researchers choose Tesorai for immunopeptidomics

Higher sensitivity and practical turnaround at immunopeptidomics scale.

Peptide identifications vs. MaxQuant, indexed separately per comparison
MaxQuant baseline (all IDs)
100
Tesorai Search (all IDs)
160 (+60%)
Tesorai (high-confidence)
236 (+136%)

+60% is vs. all MaxQuant identifications; +136% is vs. the MaxQuant high-confidence subset, indexed separately.

Academic study source: NYU ImmunoVerse study, 21 cancer types (preprint)

Sensitivity

More peptide identifications across cancer types

In a large-scale immunopeptidomics study spanning 21 cancer types, Tesorai Search increased peptide identifications by 60% on average compared with the MaxQuant baseline — and by 136% on average among high-confidence identifications.

28,446 tumor-specific HLA-presented antigens identified across 21 cancer types

Actionable tumor-specific targets found in 89% of tumors analyzed

Speed

Process massive datasets in hours, not weeks

In collaborator projects, Tesorai has reprocessed some of the largest public immunopeptidomics collections in the field, cutting turnaround from weeks of pipeline time to hours.

2,500 files analyzed in under 5 hours, vs. 8+ weeks with a legacy pipeline — in collaboration with NYU Langone Health & University of Notre Dame

~4,000 files (~4TB) reprocessed in ~7 hours using a custom 100,000-protein search database, in collaboration with Cincinnati Children's Hospital

8+ weeks
legacy pipeline
<5 hrs
Tesorai Search

Capabilities

Built for immunopeptidomics search

Unspecified-cleavage search

Identify HLA-presented peptides without assuming enzymatic cleavage.

Large search spaces

Search expanded protein databases and complex candidate spaces without sacrificing practical turnaround time.

Cohort-scale analysis

Process hundreds or thousands of files without weeks of pipeline time.

Research

Used in large-scale academic research

Tesorai has been used to reprocess large immunopeptidomics collections in academic studies and collaborator projects.

“We extensively leveraged Tesorai to reprocess the public ImmunoVerse immunopeptidomics collection… completing the analysis in approximately 7 hours of total compute time… The superior accuracy of these predictions were reflected in comparison to ours and other prior validation studies.”

— Nathan Salomonis, Salomonis Lab, Cincinnati Children's Hospital

“We used to wait days to process thousands of files. Tesorai finished in just a few hours. It completely changes the pace at which we can operate.”

— Guangyuan (Frank) Li, PhD, NYU Langone Health & University of Notre Dame

Real Results

Sensitivity, speed, and scale

136%

average increase in high-confidence peptide identifications vs. the MaxQuant baseline

28,446

tumor-specific HLA-presented antigens identified across 21 cancer types

~7 hrs

to reprocess a ~4TB / ~4,000-file collection with a 4x-expanded search database, in collaboration with Cincinnati Children's Hospital

See what Tesorai can find in your immunopeptidomics data

Search your own raw MS data with Tesorai.