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 data to train the model was sourced from the OpenFold data set for sequence alignments and UniRef50, a subset of data from UniProt, the database of protein sequence and functional information ...