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New method labels proteins in large tissue samples with high speed
New technology labels proteins across whole, intact rodent brains, embryos, and even human brain samples, with "ultra-fast" speed.
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How Memory Stays Sharp: The Role of KIBRA and PKMζ in Long-Term Memory Maintenance
A molecular duo, KIBRA and PKMζ, may hold the secret to long-lasting memories. Learn how their interaction could revolutionize memory-related treatments.
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AI-driven protein engineering
A new AI system called EVOLVEpro can take existing proteins and make them more stable, accurate, and efficient.
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Open source AI model matches the performance of AlphaFold3
MIT scientists have released a new open source AI model to predict protein structure with a performance similar to AlphaFold3.
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Deep learning system for protein design
Researchers have developed a new, efficient AI tool that uses deep learning to design proteins that can bind to small molecules.
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AI researchers win Nobel Prizes in Physics and Chemistry: hows and whys
In 2024 AI researchers have won the Nobel Prize in Physics and half of the Nobel Prize in Chemistry for pure AI research and applications.
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Machine-learning algorithm tracks dementia-related protein clumping in real time
Potential for developing new drugs; open-access code on Github
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DeepMind makes AlphaFold3 open source
Google DeepMind has made AlphaFold3, an AI model for predicting protein structures, available as open-source for non-commercial use.
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Mice on a time-restricted feeding schedule had better memory and less accumulation of amyloid proteins in the brain compared to controls
"Biggest health challenge"
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Modified AlphaFold combines AI with new experimental data
Researchers have developed a modified version of AlphaFold able to take into account new experimental data to predict how proteins fold.