An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has introduced CGSchNet, a machine-learned coarse-grained (CG) model that can ...
Demis Hassabis (CEO of Deep Mind) and John M. Jumper have useed artificial intelligence to predict the structure of almost all known proteins. David Baker has learned how to master life’s building ...
Protein folding is a critical process by which linear chains of amino acids adopt specific three‐dimensional conformations essential for biological function. In recent years, studies have increasingly ...
In a study published in PNAS, a research team developed a new reinforcement learning-based enhanced sampling method called Adaptive Collective Variables Generator (Adaptive CVgen), which has been ...
Most parts of living organisms come packaged with ribbons. The ribbons are proteins-chains of amino acids that must fold into three-dimensional structures to work properly. But when for any reason the ...
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.
How did the earliest life on Earth build complex biological machinery with so few tools? A new study explores how the ...
When a protein folds, its string of amino acids wiggles and jiggles through countless conformations before it forms a fully folded, functional protein. This rapid and complex process is hard to ...
New computer simulations that model every atom of a protein as it folds into its final three-dimensional form support the existence of a recently identified type of protein misfolding. Proteins must ...
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