Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Today, the Wyss Institute for Biologically Inspired Engineering at Harvard University and Spear Bio, Inc.announced that the Institute's DNA nanotechnology-driven ultrasensitive SPEAR protein-detection ...

Treatment of neurodegenerative diseases faces a significant challenge due to the lack of effective diagnostic methods for early detection and monitoring of disease progression. Protein misfolding, a ...

Protein detection sensitivity has historically lagged behind nucleic acid detection by 2-3 orders of magnitude due to the lack of intrinsic signal amplification. While digital methods such as Single ...

Human cells contain approximately 20,000 protein-encoding genes. However, the actual number of proteins observed in cells is far greater, with over 1,000,000 different structures known. These variants ...

The amino acid side chains of proteins undergo various post-translational modifications (PTMs) which significantly impact protein function and mediate complex cellular events. Measuring the dynamics, ...

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 ...

Your KingFisher system can empower your research beyond SARS-CoV-2 - from detection of cell-free DNA, to genetic testing, to the detection of SARS-CoV-2 in wastewater samples, to the detection of ...

(SALT LAKE CITY)–University of Utah biochemists have reported an advance in the production of functional mirror-image proteins. According to a groundbreaking study published in this week's online ...

The field of targeted protein degradation (TPD) is advancing at an unprecedented pace, offering novel therapeutic strategies for addressing previously undruggable targets. However, efficient and ...