What if evolution could be simulated in a lab? At the intersection of artificial intelligence, biology, and evolutionary science, researchers have unveiled a tool that might just rewrite the rules of ...

Figure 1: Fluoresence and phase-contrast microscopic evaluation of murine hematopoietic colonies for GFP expression. Figure 3: GFP expression in peripheral blood leukocytes from a rhesus macaque ...

It’s been trained on 771 billion unique tokens – the AI term for a unit of data – taken from databases of natural protein ...

The recent findings of Waldo et al. 1 demonstrate that the fusion of the green fluorescent protein (GFP) to insoluble proteins dramatically reduces its folding ability in prokaryotic cells.

In a study published in Science, researchers detailed how they used advanced language models to fast-forward evolution, simulating hundreds of millions of years of genetic changes ...

A startup founded by former Meta researchers is creating an alternative evolutionary path using the most powerful ...

The 2008 Nobel Prize in Chemistry will go to a trio of researchers who discovered, expressed, and developed green fluorescent protein (GFP) and revolutionized the way that biologists visualize living ...

Leveraging the power of large language models, evolutionary biologists have successfully simulated 500 million years of evolution. Called the EvolutionaryScale Model 3, or ESM3, this multimodal ...

They called it “green protein,” but at the time ... Although the bacteria were green, the GFP took a long time to fold and become fluorescent. “The jellyfish version of GFP just crashed out in E. coli ...

That's the equivalent of 500 million years of evolution being processed by AI, the research team estimates, and it opens the way to creating custom-made proteins that can be designed for specific uses ...