Protein-Protein Interactions (PPIs) are critical for biological systems to function properly. Strong interactions maintain structural integrity and function, whereas weaker interactions enable ...

Researchers have developed a new method for designing de novo proteins with tailored properties. Their approach leverages the structure prediction capabilities of AlphaFold2, combining them with an ...

Scientists have used deep learning to design new proteins that bind to complexes involving other small molecules like hormones or drugs, opening up a world of possibilities in the computational design ...

A stylized representation of the intersection between artificial intelligence and molecular biology. The image illustrates neural circuits intertwined with molecular structures, symbolizing the ...

AlphaFold arrived as a technical moonshot that suddenly made protein structures feel like software rather than secrets of nature, and five years on it has rewired how laboratories plan experiments, ...

Google DeepMind’s research team recently disclosed in the international academic journal *Nature* the development process of an artificial intelligence (AI) model called **AlphaGenome**, which ...

Researchers have created a platform, called SIMPL2, that revolutionizes the study of protein-protein interactions by simplifying detection while improving measurement accuracy. While protein-protein ...

In 2020, news headlines repeated John Moult’s words at the end of a stunning competition: Artificial intelligence had “solved” a long-standing grand challenge in biology, protein structure prediction.