A team of researchers has built a new protein sequencing workflow that pairs mirror proteases with deep learning software to read peptide sequences with far greater accuracy than previous methods.

Stanford develops protein-to-DNA method enabling high-throughput protein sequencing Technique detects up to 1,000 times more ...

This review examines how next-generation protein sequencing and analysis technologies are expanding proteomics beyond the ...

A new single-cell technology is giving scientists their clearest view yet of immune cell behavior—capturing not just genetic intent, but real-time activity. By measuring RNA and proteins ...

For decades, reading proteins has remained an analog challenge in a digital world. Researchers at Stanford University have developed a “reverse translation” method that converts protein sequences into ...

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...

This research, led by Prof. Haichen Wu from the Institute of Chemistry, Chinese Academy of Sciences (CAS), and Prof. Lei Liu from the Institute of High Energy Physics, CAS, alongside their ...

In ancient Greek lore, Proteus, son of Poseidon, held the allure of wisdom and foresight, yet could only be approached by those with the means to capture him. Much like this mythical figure, proteins, ...

BRANFORD, Conn.--(BUSINESS WIRE)--Quantum-Si Incorporated (Nasdaq: QSI) (“Quantum-Si,” “QSI” or the “Company”), The Protein Sequencing Company™, today ...

Protein sequencing presents different challenges than nucleic acid sequencing, meaning that proteomics has yet to benefit as much as genomics from the next-generation sequencing revolution. However, ...