The team, from biopharmaceutical company Regeneron, hopes their work will help researchers better understand protein-protein interactions during preclinical development of a drug. “Essentially, we ...

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.

A new single-molecule flow-stretch assay enables real-time observation of DNA-protein interactions to identify the molecular ...

From protein translation to mitosis, fundamental cellular processes are multifaceted and dynamic. Researchers seeking to understand the inner workings of a cell benefit from multidisciplinary ...

BOSTON—The ongoing integration of AI and automation was a central theme at this year’s convening of the Society for Lab Automation and Screening (SLAS) in Boston. And that was evident from several ...

Protein-Protein Interactions (PPIs) are critical for biological systems to function properly. Strong interactions maintain structural integrity and function, whereas weaker interactions enable ...

Researchers have developed an infrared-based sensor that detects misfolded alpha-synuclein protein in spinal fluid with ...

Researchers developed a reverse translation method that converts protein sequences into DNA, allowing standard DNA sequencers ...

Precise protein quantification is a crucial step in workflows involving protein extraction, isolation, and analysis. Accurate knowledge of the concentration of your protein sample is essential for ...

Real-World Plasma Thymidine Kinase Activity in High-Risk and Metastatic Hormone Receptor–Positive, Human Epidermal Growth Factor Receptor 2–Negative Breast Cancer Treated With Cyclin-Dependent Kinase ...