In a discovery with wide-ranging implications, researchers recently announced that uniformly charged macromolecules -- or molecules, such as proteins or DNA, that contain a large number of atoms all ...
Vakil Takhaveev joined Matthias Heinemann’s laboratory at the University of Groningen in 2015 to research cellular metabolism. Early in his studies using budding yeast as a model organism, he peered ...
AF2Complex: Researchers leverage deep learning to predict physical interactions of protein complexes
Proteins are the molecular machinery that makes life possible, and researchers have long been interested in a key trait of protein function: their three-dimensional structure. A new study details a ...
And it’s giving the data away for free, which could spur new scientific discoveries. DeepMind says its AlphaFold tool has successfully predicted the structure of nearly all proteins known to science.
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. Brief ...
The company has already used its protein-folding AI, AlphaFold, to generate structures for the human proteome, as well as yeast, fruit flies, mice, and more. Back in December 2020, DeepMind took the ...
In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...
In the wee hours of an October morning, David Baker, a protein biologist at the University of Washington (UW), received the most-awaited phone call in a scientist’s career. Halfway around the world, ...
David Baker, Demis Hassabis and John M. Jumper shared the Nobel Prize in Chemistry on Wednesday for their work on protein structure. Atila Altuntas / Anadolu via Getty Images On Wednesday morning, ...
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