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 ...

Proteomics—a term first coined in the mid-1990s—refers to the study of the complete set of proteins expressed in a cell, tissue, or organism. In contrast to genomics and transcriptomics, proteomics is ...

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

A new technology to enable the simultaneous performance of proteomics and genomics has been developed. An innovative new technique from the Andalusian Centre for Molecular Biology and Regenerative ...

Proteins, through their diversity, are vital determinants of phenotype and function. Humans possess potentially millions of protein variants (proteoforms), derived through mechanisms including ...

Nucleic acid-based therapeutics, including antisense oligonucleotides (ASO), small interfering RNA (siRNA), messenger RNA (mRNA), immunomodulatory DNA/RNA, and gene-editing guide RNA (gRNA), hold ...