Constructing atomic models from cryogenic electron microscopy (cryo-EM) density maps is essential for interpreting molecular mechanisms. Here we present CryoAtom, an approach for de novo model ...

How the proteins in our bodies bind together to form protein complexes plays a critical role in numerous cell ...

Proteins are the molecular workhorses of the human body. They perform a vast range of essential functions, from building ...

The most popular and universally predictive protein simulation models employ all-atom molecular dynamics, but they come at extreme computational cost. The development of a universal, computationally ...

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.

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

Protein language models are artificial intelligence tools which help engineer proteins with useful properties, including completely new structures never seen before in nature. The technology has huge ...

As Biohub unveiled the next-generation ESM, AI tools designed to model protein biology, Northwestern University scientist Shana Kelley said the innovations will help write “the book of life.” A ...

Proteins are far more than nutrients we track on a food label. Present in every cell of our bodies, they work like nature's molecular machines. They walk, stretch, bend, and flex to do their jobs, ...