MIT researchers have built an AI language model that learns the internal coding patterns of a yeast species widely used to ...

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...

PINNACLE does not obviate but complements single-representation models, the researchers noted, in that it can analyze protein interactions within various cellular contexts. Thus, PINNACLE could enable ...

Watching proteins move as they drive the chemical reactions that sustain life is one of the grand challenges of modern biology. In recent years, X-ray free-electron lasers, or XFELs, have begun to ...

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 ...

Analysis of therapeutic co-mixtures can be challenging whenever two proteins are present in substantially different abundance. The video below explains how Maurice's icIEF Native Fluorescence ...

Determining the three-dimensional structure of membrane proteins has historically been a huge challenge for scientists due to the difficulties in expression, solubilization, and purification of these ...

Discover effective protein quantification methods for precision in molecular biology and clinical diagnostics.

The success of ChatGPT and its competitors is based on what’s termed emergent behaviors. These systems, called large language models (LLMs), weren’t trained to output natural-sounding language (or ...

Pranam Chatterjee, PhD, assistant professor of bioengineering at the University of Pennsylvania (UPenn), emphasizes that text is all you need for artificial intelligence (AI) models to effectively ...