Protein function prediction and annotation represent critical challenges in the post‐genomic era. As high‐throughput sequencing continues to generate vast amounts of protein data, computational ...

In a recent study published in the journal Nature Machine Intelligence, researchers developed "DeepGO-SE," a method to predict gene ontology (GO) functions from protein sequences using a large, ...

A new artificial intelligence (AI) tool that draws logical inferences about the function of unknown proteins promises to help scientists unravel the inner workings of the cell. Developed by KAUST ...

An innovative machine learning approach has been shown to rapidly predict multiple protein configurations. A new paper presents the method that predicts the relative populations of protein ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

In an ambitious collaboration, researchers added 1.8 million high-confidence protein complex structure predictions to the ...

A new artificial intelligence (AI) tool that draws logical inferences about the function of unknown proteins promises to help scientists unravel the inner workings of the cell. A new artificial ...

Understanding how representative currently known proteins are of the overall potential diversity can help inform strategies ...

Scientists at St. Jude Children's Research Hospital have created a database that provides updated predicted structures on a regular basis, ensuring scientists can work with the most current ...

The number of known proteins is infinitely small in comparison to the universe of possible proteins which could in theory be ...