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Yta Labs Discover
Our Discover platform enables computational validation of cell surface peptide target candidates. Better candidate pool, better target prioritization, better binder designs.
Yta Labs Peaks
Our deep learning-based peptide identification solution reduces identification bias inherent in usual mass spectrometry-based identification methods, improving the quality of identifications at 5%, 1%, or lower FDR.
Thanks to the reduced bias in the biochemical properties of the peptides identified with our method, identification rates can be improved by over 300% in select cases.
Yta Labs Surface
Using pMHC-specific data-driven structural modeling, proprietary structural features, and purpose-fit deep learning algorithms, our platform aggressively selects quality targets from the initial candidate pool, leading to up to 70% reduction in validation requirements to find quality binders.
Yta Labs Capture
Our unique pattern matching approach finds high-quality nanobodies for your targets within weeks, not months.
Lab validation
An indispensable tool to ensure robust, biologically meaningful results
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Our platform is currently available by invitation only. Apply below and we’ll get back to you as soon as possible.