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Cracking the Mass Spectrometry Code: Artificial intelligence for de novo peptide sequencing
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AI is revolutionizing de novo peptide sequencing, enabling deep learning models to decode MS/MS spectra into amino acid sequences—without relying on reference proteomes.
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I'll introduce Casanovo, a transformer-based model that delivers state-of-the-art performance, accuracy, and generalizability across a range of proteomics applications.
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To accelerate innovation, I'll present a community benchmarking effort that reveals where current tools excel—and where they still fall short—empowering both developers and practitioners to push the field forward.
