Applications

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Biopharma

Most drugs either are proteins or work on proteins, yet drug discovery has largely relied on genomic proxies to understand them. deSIPHR reads what a cell is actually doing, not what its DNA suggests it might do. With more than 100x improvement in peptide detection sensitivity over mass spectrometry, deSIPHR discovers low-abundance, clinically relevant peptides from limited patient samples.

  • Immunopeptidomics

  • Neuropeptide and signaling peptide sequencing

  • Biologics and antibody development

  • Protein degrader characterization

  • Data for AI biology and drug discovery platforms

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Biosecurity

The next generation of biosecurity depends on the ability to detect threats that don’t yet exist in any database. deSIPHR sequences proteins de novo — without prior knowledge of whats in the sample — uncovering novel biomarkers, post-translational modifications, and low-abundance signals that current methods miss entirely.

  • Unknown protein and biothreat detection

  • De novo identification of engineered or non-canonical proteins

  • Functional analysis and biothreat mitigation

  • Supply chain verification and biosurveillance

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Bio-AI

The next generation of AI biology — virtual cell models, foundation models for biology, and AI drug discovery platforms — is bottlenecked not by algorithms but by data. Specifically, the right kind of data: high-resolution, single-cell measurements that capture not just what genes are expressed, but what proteins are actually doing, in real time, under perturbation.

  • Perturb-seq style studies

  • Cell state differentiation

  • Longitudinal proteomics

  • Virtual cell training data

Let’s work together.