Proteins, one of the smallest building blocks of life on Earth, hold promise for answering some of biology's biggest ...

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.

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 ...

Researchers from Facebook AI Research (FAIR) at Meta AI have published a paper in the journal Science detailing a machine-learning-created database of 617 million predicted protein structures. The ...

Researchers headed by a team at the Centre for Genomic Regulation, Barcelona Institute of Science and Technology and at the Wellcome Sanger Institute have developed an AI tool that they say has made a ...

Biotech advances from UT’s new Deep Proteins group are changing the game with help from artificial intelligence. Researchers study the three dimensional structures of molecules on a wall-sized video ...

Whether you’re interested in why a living system works as it does or the reasons it goes awry, proteins are a critical part of the molecular picture. The proteins circulating in a person’s plasma can ...

The process of protein identification typically begins with a bottom-up approach, where proteins are enzymatically digested—most commonly with trypsin—into smaller peptides. These peptides are ...

In the wee hours of an October morning, David Baker, a protein biologist at the University of Washington (UW), received the most-awaited phone call in a scientist’s career. Halfway around the world, ...