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HLA-Compass

Web-accessible HLA peptide database

Alitheabio hlacompass

Alithea’s web-accessible HLA peptide database HLA Compass comprises 1.4 million unique peptides and 10,000 cancer specific epitopes deriving from >17 million identifications in 4,160 high-quality HLA peptidomics samples, meticulously collected from healthy organs, cancer cell lines, and tumor tissues. Each peptide in this extensive database is grounded in real-world  biological data, reflecting the actual peptide presentation on HLA complexes in these diverse tissue types.

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Unique benefits of HLA-Compass

Unified bioinformatics pipeline based on Alithea’s deep domain knowledge and bioinformatic tools

All peptides are linked to quantitative information allowing for relative quantification between thousands of samples

Intuitive user interface allows for easy browsing of peptide and protein data

Tools to identify off-targets from lists of potential candidates or similarity searching (e.g. with x-scan data)

All peptides are mapped to cognate HLA alleles through Alithea’s proprietary HLA binding predictors

Stringent quality control based on Alithea’s deep domain knowledge and bioinformatic tools

The numbers behind HLA-compass

Alithea’s web-accessible HLA peptide database HLA Compass comprises 1.4 million unique peptides and 10,000 cancer specific epitopes deriving from >17 million identifications in 4,160 high-quality HLA peptidomics samples, meticulously collected from healthy organs, cancer cell lines, and tumor tissues.

Each peptide in this extensive database is grounded in real-world biological data, reflecting the actual peptide presentation on HLA complexes in these diverse tissue types.

Contact us for more details

HLA Compass access options 
on “per-request” basis:

  • interrogating presentation of single peptides via peptide-centric analysis
  • interrogating presentation of all peptides from certain genes via gene-centric analysis
  • getting evidence for the presentation of putative off-targets y submitting lists of peptides for off-target analysis
  • identifying potential off-targets through off-target analysis (link) based on Alanine or x-scan data
  • re-searching subsets of the data for evidence that putative n