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

We present a novel system that leverages curators in the loop to develop a dataset and model for detecting structure features and functional annotations at residue-level from standard publication text ...

Understanding protein–protein interactions (PPIs) is crucial for deciphering cellular processes and guiding therapeutic discovery. While recent protein language models have advanced sequence-based ...

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

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 ...

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 ...

A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how different proteins may bind to DNA with accuracy across different types of protein, a ...

Protein scientists could improve reproducibility and coordination across the field by rallying around a small, shared set of "model proteins," according to a new Perspective by Connecticut College ...

In a remarkable leap forward for synthetic biology, the AI model ESM3, developed by Evolutionary Scale, has achieved a significant milestone. By simulating half a billion years of evolutionary ...

Biohub, the non-profit research organization co-founded by Priscilla Chan, MD, and Mark Zuckerberg, has now unveiled the latest update to the ESM protein language model family, with expanded ...