De novo protein folding is a process where artificial proteins are designed from scratch using computational methods and then synthesized to perform specific functions, such as capturing and storing carbon dioxide.
Mitigating climate change by developing more efficient methods to capture and store carbon dioxide from industrial emissions or the atmosphere.
AI-driven algorithms predict the structure of proteins that can perform desired functions. These designs are then translated into DNA sequences, which are inserted into host cells for synthesis. The resulting proteins are screened for performance in targeted applications.
Involves both computational design of proteins and biological manufacturing techniques such as cell-free protein synthesis and recombinant DNA technology.
1. Computational design using AI models to predict protein structures. 2. Synthesis of DNA encoding these designs. 3. Insertion into host cells for expression. 4. Screening and optimization based on performance metrics.
Field units draw low hundreds of watts; fabrication is energy-intensive due to vacuum baking and high-performance computing requirements.
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