AI, computation, and the folds of life: Supercomputers help train a software tool for the protein modeling community

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AI, computation, and the folds of life: Supercomputers help train a software tool for the protein modeling community

OpenFold is an innovative open-source software tool that leverages artificial intelligence and supercomputing to predict protein structures. This tool builds on the success of AlphaFold2, matching its accuracy while providing a fully open-source alternative. The development aims to enhance research in medicine and deepen understanding of proteins linked to neurodegenerative diseases.

The project, initiated by researchers from Harvard and Columbia, has led to the formation of the OpenFold Consortium, which collaborates with various startups. OpenFold allows scientists to train the model with their own data, a significant advancement over AlphaFold2. The integration of AI with supercomputing is revolutionizing biology and drug discovery, promising to unlock new treatments for diseases.

• OpenFold matches AlphaFold2's accuracy in protein structure prediction.

• AI and supercomputing are transforming biology and drug discovery.

Key AI Terms Mentioned in this Article

OpenFold

OpenFold enhances research capabilities by allowing scientists to train the model with their own data.

AlphaFold2

AlphaFold2 has been widely used in various research fields since its release.

Supercomputing

Supercomputers enable the rapid prediction of millions of protein structures, significantly advancing biological research.

Companies Mentioned in this Article

Google DeepMind

Google DeepMind's work has significantly impacted protein structure prediction and related fields.

Meta AI

Meta AI's recent work with OpenFold demonstrates its commitment to integrating AI in biological research.

TACC

TACC's collaboration with the OpenFold team has been crucial for deploying AI applications in biology.

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