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 ...

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 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 ...

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 ...

Protein drugs feature significant advantages over small molecule therapeutics, including low toxicity, high specificity, and development speed. However, the quality control requirements are ...

Urine serves as an ideal source of biomarkers since it can be collected through non-invasive methods, enabling the temporal monitoring of patient conditions. Moreover, urine often reflects ...