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 ...
A research team led by Professor Haichen Wuof the Chinese Academy of Sciences (CAS) Institute of Chemistry and Professor Lei Liu of the CAS Institute of High Energy Physics, along with their ...
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, ...
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 ...