For example, the fully autonomous protein engineering platform Self-driving Autonomous Machines for Protein Landscape Exploration (SAMPLE) is equipped with AI programs that learn protein ...

RNA-binding proteins use a dual binding mechanism involving zinc finger (ZnF) domains and intrinsically disordered regions ...

Using nanopore DNA sequencing technology, researchers have managed to scan a single protein: by slowly moving a linearized protein through a tiny nanopore, one amino acid at the time, the ...

Researchers at Baylor College of Medicine have developed an artificial intelligence (AI) model that reveals how protein ...

Biomolecular Emulator can predict protein dynamics and offers accurate insights in biomolecular research. This article helps ...

Several companies are developing technologies to identify the sequence of amino acids in huge numbers of individual protein molecules from a sample.

The open-source pipeline designs proteins with improved success rates for therapeutic targets, including gene editing proteins and allergens.

Until now, the oldest confirmed sample to yield protein data for taxonomy is a 3.7-million-year-old collagen from a camel relative.

Details of the model’s performance and design are published in a recent preprint titled “ProtoBind-Diff: A Structure-Free Diffusion Language Model for Protein Sequence-Conditioned Ligand ...