The inaugural competition surprisingly awarded two $100,000 grand prizes to address challenges in defining robust benchmarks for complex biology.

On Tuesday, Google DeepMind and Isomorphic Labs announced a significant progress update on the next iteration of AlphaFold, the deep learning model that in 2020 cracked the problem of predicting a ...

The success of ChatGPT and its competitors is based on what’s termed emergent behaviors. These systems, called large language models (LLMs), weren’t trained to output natural-sounding language (or ...

For numerous fundamental processes of life, the formation of certain protein patterns is essential. Protein pattern formation ...

As bispecifics, ADCs, protein degraders, and AI-designed mini-proteins move into the clinic, discovery teams face a new ...

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 ...

For large language models (LLMs) like ChatGPT, accuracy often means complexity. To be able to make good predictions, ChatGPT must deeply understand the concepts and features that are associated with ...

This week, scientists at Meta, the firm behind Facebook and Instagram, released the structures of more than 600 million putative proteins in a database called the ESM Metagenomic Atlas. The structures ...

Professor Jonathan Wittenberg used this model of sperm whale myoglobin structure as a teaching tool at the Albert Einstein College of Medicine at Yeshiva University in the Bronx. It was used beginning ...

UCLA scientists have characterized the structure and function of a key survival protein in breast cancer cells that helps ...