Most of the activities that go on inside cells—the activities that keep us living, breathing, thinking animals—are handled by proteins. They allow cells to communicate with each other, run a cell’s ...
State-specific protein–ligand complex structure prediction with a multiscale deep generative model
The binding complexes formed by proteins and small molecule ligands are ubiquitous and critical to life. Despite recent advancements in protein structure prediction, existing algorithms are so far ...
Protein diffusion is a critical factor governing the functioning and organization of a cell’s cytoplasm. In this study, we investigate the influence of (poly)ribosome distribution, cell aging, protein ...
Researchers at the University of Toronto have developed an artificial intelligence system that can create proteins not found in nature using generative diffusion, the same technology behind popular ...
Artificial intelligence (AI) is reshaping the scientific landscape, offering fantastic solutions to some of the most pressing global challenges. From combating climate change to transforming ...
Proteins, the natural molecules that carry out key cellular functions within the body, are the building blocks of all diseases. Characterizing proteins can reveal the mechanisms of a disease, ...
Although proteins are composed out of only a small number of distinct amino acids, this deceptive simplicity quickly vanishes when considering the many possible sequences across a protein, not to ...
"By combining biophysics-based representations of protein structure with diffusion methods from the image generation space, we can begin to address this problem." The new system, which the researchers ...
Inspired by digital art generators like DALL-E, biologists are building artificial intelligences that can fight cancer, flu and Covid. By Cade Metz Last spring, an artificial intelligence lab called ...
A multicolored protein structure is blurred at the edges and comes into focus toward the center. Detail of a protein designed using a tool called ProteinMPNN Credit: Ian C. Haydon/UW Institute for ...
Various approaches to such protein redesign have drawbacks. Traditional methods include time-consuming trial and error efforts, and many models in the emerging field ...
With the release of platforms like DALL-E 2 and Midjourney, diffusion generative models have achieved mainstream popularity, owing to their ability to generate a series of absurd, breathtaking, and ...
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