The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 possible variants—more combinations than atoms in the observable universe.

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

Holly has a degree in Medical Biochemistry from the University of Leicester. Her scientific interests include genomics, personalized medicine, and bioethics.View full profile Holly has a degree in ...

As the world continues to explore the potential of GPT-4o beating Claude 3.5 Sonnet, EvolutionaryScale, an AI research lab founded by former Meta engineers, who ran the company’s now-disbanded protein ...

Protein design is crucial for the treatment of human diseases, but traditional protein design methods have some limitations. Site-directed mutagenesis is highly dependent on the physiological ...

A new platform combines rational protein design with continuous evolution to discover functional molecules more efficiently. In medicine and biotechnology, the ability to evolve proteins with new or ...

Here’s what you’ll learn when you read this story: Directed evolution is eerily reminiscent of AI in the way that it generates and evolves molecules until it reaches the best possible solution.

Protein sequencing presents different challenges than nucleic acid sequencing, meaning that proteomics has yet to benefit as much as genomics from the next-generation sequencing revolution. However, ...