Researchers at Forschungszentrum Jülich in Germany have published two new studies offering fresh insight into a protein ...

Two key protein structures in the body are being visualized for the first time, thanks in part to the latest technology — ...

For decades, paleontologists have adhered to the idea that fossilization gradually replaces organic materials with minerals, erasing all traces of life’s biological components. This belief has shaped ...

Last month, researchers gave protein design AI the ChatGPT treatment. From a description of the type, structure, or functionality of a protein that you’re looking for, the algorithm churns out ...

In science, it is often hard to pinpoint when a scientific problem arose. But most scientists would agree that the seed of the protein-folding problem was planted in the field of protein biology when ...

Google's DeepMind launches AlphaGenome, an artificial intelligence model that predicts gene expression from DNA sequence.

Former DeepMind employees raise $40 million to launch a London-based AI protein ... The Alphabet-owned AI company took the biology world by storm in 2020 with AlphaFold2, the protein structure ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...

With MassiveFold, scientists have unlocked AlphaFold's full potential, making high-confidence protein predictions faster and more accessible, fueling breakthroughs in biology and drug discovery ...

While one side is “reading” biology by taking the sequence and determining the structure, the other is “writing” biology by generating a new protein that fits into a specific context.

A single protein structure might take a doctoral student four or five years to figure out. Before AI, the field’s central repository contained some 185,000 experimentally solved protein structures.