The metaphor leaps out: Like letters of the alphabet ... So if you train a model in DNA, and it’s a good model, you get RNA and protein language modeling for free because there is a direct ...

Structures of protein–DNA complexes ... USC Dornsife College of Letters, Arts and Sciences DeepPBS employs a geometric deep learning model, a type of machine-learning approach that analyzes ...

The tool, called Deep Predictor of Binding Specificity (DeepPBS), is a geometric deep learning model designed to predict protein-DNA binding ... Dornsife College of Letters, Arts and Sciences.

Recently, a research team has collaborated to propose a deep learning model for predicting protein conformational changes. This achievement has been published online in Advanced Science.

The team behind DeepMind’s protein structure prediction software AlphaFold announced Oct. 31 that it is expanding its model beyond proteins. Ligands, nucleic acids, and post-translational ...

The new AlphaFold’s capabilities extend beyond protein prediction. DeepMind claims that the model can also accurately predict the structures of ligands — molecules that bind to “receptor ...

Every AI model trained for biology only can see what’s illuminated by the data points it is trained on. AlphaFold succeeded in predicting protein structures because the 200,000 or so known ...

AA-0 is the first model we have released trained on ... will allow users to build tools like iterative protein design programs that call our protein generation API or to use our embedding API ...