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.

UT researchers have developed the first viable alternative to a 75-year-old method for sequencing proteins. Image of amino acids, the building blocks of proteins. Scientists at The University of Texas ...

Proteins, one of the smallest building blocks of life on Earth, hold promise for answering some of biology's biggest ...

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 ...

Semiconductor Chip and Time Domain Sequencing™ Technology Will Advance Drug Discovery and Diagnostics, Enabling People to Live Healthier and Longer Lives Next-generation single-molecule protein ...

insights from industryJeff HawkinsCEOQuantum-SiIn this interview, NewsMedical speaks with Jeff Hawkins, CEO of Quantum-Si, about the challenges of conventional proteomic methods, as well as how ...

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

In the workflow of AmproCode, each type of the selected residues on peptide or protein samples can be respectively modified by the DNA barcode, and the composition code which is the relative ratio of ...

At the University of Oxford, scientists have developed a nanopore technology that can identify three different post-translational modifications (PTMs) in individual proteins, even deep within long ...

Protein engineering is a powerful biotechnological process that focuses on creating new enzymes or proteins and improving the functions of existing ones by manipulating their natural macromolecular ...