An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation. The study, published in the ...
CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for cancer treatment. Operating significantly faster than traditional all ...
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
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Machine learning cracked the protein-folding problem and won the 2024 Nobel Prize in chemistry
The 2024 Nobel Prize in chemistry recognized Demis Hassabis, John Jumper and David Baker for using machine learning to tackle ...
Machine-learning platform enables signal peptide-informed discovery of small molecules that selectively inhibit protein secretion allowing for the degradation of disease-related proteins at the point ...
“Geometric deep learning is likely going to be part of the standard AI-powered engineering process in five years for most companies,” says Altair’s VP of engineering data science Earlier this year we ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
It has long been thought that protein function and stability are highly sensitive to changes in the composition of the internal structures, or protein cores. However, a large-scale experiment probing ...
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