Announces early access availability of ProteoVue Software
ProteoVue is part of broader set of innovation initiatives, including the Company’s recently announced collaboration with NVIDIA, to leverage AI to enhance sequencing performance
Quantum-Si’s New Preprint Showcases Advances in Protein Variant Detection using ProteoVue™ Software with Next-Generation Protein Sequencing™
Investor
Jeff Keyes
Chief Financial Officer
ir@quantum-si.com
Media
Katherine Atkinson
SVP, Commercial Marketing
media@quantum-si.com
Quantum-Si Incorporated (Nasdaq: QSI) (“Quantum-Si,” “QSI” or the “Company”), The Protein Sequencing Company™, today announced a new paper that was submitted to BioRxiv, demonstrating the capabilities of its proprietary bioinformatics tool called ProteoVue, for detecting and quantifying Single Amino Acid Variants (SAAVs). The paper, titled “Detecting Amino Acid Variants Using Next-Generation Protein Sequencing (NGPS),” highlights the transformative potential of Quantum-Si’s Platinum® benchtop instrument in advancing proteomics research and applications. The full preprint publication will be available soon on the BioRxiv website.
ProteoVue is an advanced analysis workflow within the Platinum Analysis Software, designed to detect and quantify amino acid variants in complex protein systems. ProteoVue’s capabilities enable detecting a broad variety of protein variation including isobaric variations, quantifying post-translational modifications, and characterizing proteins with unnatural amino acids. ProteoVue empowers cutting-edge research in proteoform science and protein therapeutics.
“ProteoVue is a major step forward in harnessing the power of Next-Generation Protein Sequencing,” said Jeff Hawkins, President and Chief Executive Officer of Quantum-Si. “This innovation showcases how our NGPS™ platform enables precise and scalable proteomic analysis, providing researchers with tools to better uncover protein variations critical for understanding biology and disease.”
The paper establishes ProteoVue as a comprehensive tool for SAAV detection and quantification. Using Quantum-Si’s NGPS technology, ProteoVue leverages advanced signal processing, neural network-driven kinetic signature modeling, and a robust clustering framework to provide unparalleled insights into protein variants, including those traditionally undetectable by mass spectrometry.
Key Findings:
- Single Molecule Variant Detection: ProteoVue demonstrates the ability to detect and quantify amino acid variants through real-time measurement of individual protein molecules.
- Detection Across Variant Types: The pipeline differentiates between different variant types by measuring change in single molecule kinetic features associated with a variant.
“This paper underscores the potential of ProteoVue to support advanced research in biomarker discovery, precision medicine, and proteomics” said John Vieceli, Chief Product Officer at Quantum-Si. “The work described here is part of our broader effort to continually enhance NGPS analysis pipelines for customers. Our proprietary analysis tools, combined with our collaboration with NVIDIA, will enable us to further leverage AI and GPUs to process the large volume of data expected to be produced across our instrument portfolio, including the recently announced next generation platform, Proteus.”
The Company previously announced a collaboration relationship with NVIDIA as part of its Investor & Analyst Day on November 20, 2024 which introduced the Proteus platform and other advancements.
Quantum-Si invites researchers and potential collaborators to early access of the ProteoVue workflow. To learn how you can become part of the journey toward deeper understanding and groundbreaking discoveries, visit: Protein Variant Applications.
About Quantum-Si Incorporated
Quantum-Si, The Protein Sequencing Company™, is focused on revolutionizing the growing field of proteomics. The Company’s Platinum® instrument enables Next-Gen Protein Sequencing™ that advances proteomic research, drug discovery, and diagnostics beyond what has been possible with existing proteomic tools. Learn more at quantum-si.com or follow us on LinkedIn or X.
Forward Looking Statements
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