They developed a new computational model and tool that uses advanced techniques to analyze protein dynamics and predict their crystallization propensity accurately. This tool, Tarakanova explains ...

That database holds around 200 million models made using AlphaFold, DeepMind’s algorithm for predicting protein structures. The Meta AI algorithm used to make the new protein models (ESMFold ...

The researchers used a unique form of computer modeling to generate 3D protein models. "Our hypothesis was that there must be similarities in the amino acid sequence of the ACE2 receptor of ...

The models could map 10 times as many sequences as a database search, including those of E. coli and Pseudomonas aeruginosa—the latter being a multidrug-resistant bacterium.

A new AI model, ProtGPS, predicts protein localization within cells, identifying which of 12 compartments a protein will target and how mutations may alter this localization.

These systems, called large language models (LLMs), weren't trained to output ... good as the best competing AI systems for predicting protein structures, but it's considerably faster and still ...