Synthesizing new proteins, which are fundamental to all biological life, is an area of immense scientific promise. A groundbreaking development from researchers in the U.S. has taken a major step forward in this field with the use of an advanced AI model called EvolutionaryScale Model 3 (ESM3). This model has been used to create a new protein, called esmGFP (green fluorescent protein), which shares just 58 percent of its material with its closest natural relative, tagRFP.
The research team estimates that this breakthrough represents the equivalent of processing 500 million years of evolution via AI, opening new doors to creating custom-made proteins designed for specific applications, or enhancing the functions of existing proteins. According to the researchers, led by Thomas Hayes, founder of EvolutionaryScale in New York, “More than three billion years of evolution have produced an image of biology encoded into the space of natural proteins.” Their study demonstrates how language models trained on evolutionary data can generate functional proteins that are significantly distant from any known natural proteins.
Continue reading… “AI Model Synthesizes Custom Proteins with Limitless Potential for Medicine and Biotechnology”
