Apple developed an alternative AI model to predict the 3D structure of proteins, and it shows promise. Here are the details.

It uses existing inverse folding AI models in a smarter way. Inverse folding models work by predicting the amino acid sequence that fits a given protein structure. Instead of designing a structure ...

John Jumper (S.M. ’12, Ph.D. ’17) was awarded the Nobel Prize in Chemistry in 2024 for his contributions to the development of AlphaFold, an AI model that revolutionized protein structure prediction.

A landmark has been reached in the field of physics and artificial intelligence with the successful resolution of a 50-year-old science problem. The neural network, developed by Alphabet subsidiary, ...

Researchers from Northwestern University and the Institute for Industrial Science at the University of Tokyo say they have developed a new high-throughput approach known as cDNA display proteolysis to ...

On Tuesday, Google DeepMind and Isomorphic Labs announced a significant progress update on the next iteration of AlphaFold, the deep learning model that in 2020 cracked the problem of predicting a ...

This year’s awards were given to scientists who helped doctors see the retina and used artificial intelligence to predict the shapes of cellular proteins. By Noah Weiland and Cade Metz The prestigious ...

Stephen Fried is an associate professor in the Department of Chemistry working on misfolded proteins, which are prevalent in many degenerative diseases such as Alzheimer's Disease, Parkinson's Disease ...

A Nigerian researcher, Muinat Zubair, has developed a method for predicting protein structure and protein-protein interactions using a combination of experimental and computational approaches.Zubair ...

WEST LAFAYETTE, Ind. — The shared culprit in a slew of diseases — cancers, neurodegenerative diseases, diabetes — is molecules our cells have made incorrectly. Think of them as proteins gone wrong.