alphafold - Tech News from Simmons Systems

Tech News from Simmons Systems

alphafold

A collection of 44 posts

DeepMind AI System AlphaFold Solves Complex Protein Folding Challenge

DeepMind's new AlphaFold AI accurately predicts protein structures, overcoming a major hurdle in biology that previously took billions of years to calculate manually.

DeepMind's AlphaFold Expands Database to 200 Million Protein Structures

DeepMind significantly scales up its AlphaFold database by adding structures for 200 million proteins, covering nearly every known protein on Earth. This massive expansion promises to dramatically accelerate drug discovery and biological research worldwide.

DeepMind AI Solves Structures of 200 Million Proteins

Google's DeepMind expands its AlphaFold database to include over 200 million protein structures, covering nearly every known sequenced organism. This massive breakthrough replaces slow, expensive traditional methods with rapid AI predictions.

DeepMind Unlocks 200 Million Protein Structures to Accelerate Global Science

DeepMind's AlphaFold AI now provides highly accurate 3D models for nearly all known proteins, transforming years-long research into instant digital lookups. This massive database gives scientists worldwide a powerful new tool to tackle challenges like malaria, food security, and sustainability.

DeepMind Leaders Share Nobel Prize in Chemistry for AlphaFold Breakthrough

DeepMind CEO Demis Hassabis and Director John Jumper win the Nobel Prize in Chemistry for their AI-powered protein structure prediction tool, AlphaFold. They share the award with University of Washington researcher David Baker, who earns recognition for computational protein design.

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Google DeepMind Leaders Win Nobel Prize in Chemistry for AlphaFold

The 2024 Nobel Prize in Chemistry recognizes Google DeepMind's Demis Hassabis and John Jumper for their AI tool AlphaFold, which predicts protein structures, alongside David Baker for computational protein design.

DeepMind Releases AI-Predicted Structures for 200 Million Proteins

DeepMind's AlphaFold tool now predicts the structure of nearly every protein known to science, and the company offers this massive database to the public for free. This unprecedented resource promises to accelerate drug discovery and breakthroughs in biology.

DeepMind Expands AlphaFold Database to 200 Million Proteins

DeepMind multiplies its AlphaFold protein structure database by 200, offering predictions for nearly every known protein to accelerate scientific and medical research.

AlphaFold AI Transforms Drug Discovery With 200 Million Predicted Protein Structures

A groundbreaking artificial intelligence system called AlphaFold provides open access to over 200 million predicted protein structures. This massive database gives scientists an unprecedented tool to understand diseases and accelerate the development of new medicines.

Charm Therapeutics Raises $50M to Simulate Protein-Drug Interactions With AI

Charm Therapeutics secures $50 million in Series A funding to advance its DragonFold platform, which uses artificial intelligence to predict how drug molecules bind to target proteins. This co-folding technology aims to accelerate the discovery of highly selective precision medicines.

DeepMind's AlphaFold Solves the 50-Year-Old Protein Folding Problem

AlphaFold achieves atomic-level accuracy in predicting protein structures from amino acid sequences, overcoming a major bottleneck in structural biology. This breakthrough opens new doors for understanding biological functions and accelerating scientific discovery.

DeepMind's AlphaFold Achieves Atomic-Level Accuracy in Protein Structure Prediction

DeepMind introduces AlphaFold, an AI system that predicts protein 3D structures with unprecedented atomic accuracy using only amino acid sequences. This breakthrough solves a 50-year-old grand challenge in biology and opens new doors for scientific research.

AlphaFold Database Offers Free Access to 200 Million Protein Structures

A collaboration between Google DeepMind and EMBL-EBI provides open access to over 200 million AI-predicted protein structures, dramatically accelerating biological research globally.

AlphaFold Database Offers Open Access to 200 Million Predicted Protein Structures

The AlphaFold Protein Structure Database, a collaboration between Google DeepMind and EMBL-EBI, provides free access to over 200 million AI-generated protein structure predictions. This massive open-access resource aims to accelerate biological research and improve global health.

AlphaFold Database Transforms Biology With Massive Protein Structure Predictions

The AlphaFold Protein Structure Database provides open access to highly accurate protein structure predictions, dramatically expanding the known structural coverage of protein-sequence space.