Fundamentally, drugs work by interacting with host proteins to modify their activity and achieve therapeutic effect. Our target identification services leverage discovery proteomics to directly quantify thousands of proteins per sample, including those now accessible via emerging drug modalities, alongside AI-based validation to find protein targets that are:
We provide quantitative protein measures, including quantification of protein copy numbers, to identify proteins that are uniquely expressed or over-expressed in diseased tissue compared to both normal adjacent tissue as well as a panel of other normal human tissues.
We apply AI to assess therapeutic tractability – whether the protein structure can be bound or otherwise accessed by the drug (e.g., by proximity-induced degradation) – to better predict drug efficacy and potential off-target effects.
Much work in target identification to date has relied upon human genetics and RNA sequencing to identify differentially expressed genes. Ultimately, however, druggability occurs at the protein level. DNA and RNA measures are limited surrogates for quantitative protein levels, and are often not well correlated in disease or treated states.
Using mass spectrometry, Sapient’s /Deep/ Discovery Proteomics method enables direct peptide sequencing of >12,000 proteins and post-translational modifications (PTMs) in cells and tissue. We provide quantitative measures of differentially expressed proteins, including those on the cell surface, to generate disease protein libraries across therapeutic areas – including oncology, neurology, and immunology – that may represent viable targets.
We can further characterize such targets using our extensive datasets of proteomic measures made in >1,000 tumors as well as 20+ normal human tissues from >1,000 individuals.
10421 Wateridge Circle, Suite 100
San Diego, CA 92121
discover@sapient.bio
858.290.7010
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