Artificial intelligence has solved one of biology’s most stubborn mysteries: how proteins fold into their intricate three-dimensional shapes. But as the field shifts from prediction to application, a ...
University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...
Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...
Five years ago, our AlphaFold AI system solved the 50-year grand challenge of protein structure prediction. But that's not ...
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 ...
After demonstrating superhuman performance in games through AlphaGo, DeepMind shifted focus to science. Its breakthrough came with AlphaFold, an AI system that predicts a protein’s three-dimensional ...
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New AI framework enables reliable intracellular antibody design
A new artificial intelligence-driven pipeline developed in a collaborative research combines protein structure prediction, sequence design, and live-cell screening together to enable rapid conversion ...
Key opportunities in the protein labeling market include increasing demand for site-specific tags in proteomics and drug development, the rise of AI tools for protein structure prediction, and the ...
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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