Demis Hassabis (CEO of Deep Mind) and John M ... AlphaFold2 on the vast information in the databases of all known protein struc­tures and amino acid sequences and the new AI architecture started ...

The team experimentally quantified the aggregation of more than 100,000 protein sequences, and used this dataset to train the new AI tool for predicting ... interpretable deep learning of protein ...

Determining the crumpled shapes of proteins based on their sequences ... protein complex, it took me about eight years. People are joking that crystallographers are going to be unemployed.” AI ...

DeepMind has unveiled the third version of its artificial intelligence (AI)-powered structural biology ... software-based ...

Therapeutic protein design is evolving—and it is doing so in more than one sense of that word. Protein design is being guided by artificial intelligence (AI), which drug developers are using to ...

Deep Genomics ... a DNA or RNA sequence, the AI can examine the effects of non-coding genes, as well as mutations that may or may not alter the ultimate function of a particular protein, and ...

It creates a deep neural-network representation of the relationship between amino acids (e.g., the pair i and j) within the protein ... sequences are used to train models with the use of AI ...

Unlike fluorescent proteins, luciferases don’t need an excitation light source and have useful applications for deep ... of AI systems, including AlphaFold2, Protein MPNN, and trRosetta, the ...

"DeepPBS is an AI tool that replaces the need for high-throughput sequencing or structural biology experiments to reveal protein-DNA binding specificity." DeepPBS employs a geometric deep learning ...