Scientists from Cleveland Clinic and Cornell University have designed a publicly-available software and web database to break down barriers to identifying key protein-protein interactions to treat ...

A new collaboration between EMBL's European Bioinformatics Institute (EMBL-EBI), Google DeepMind, NVIDIA, and Seoul National University has made millions of AI-predicted protein complex structures ...

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 ...

Proteins are the building blocks of life, involved in virtually every biological process. Understanding how proteins interact with each other is crucial for deciphering the complexities of cellular ...

Recently, SandboxAQ launched what it claims is the largest publicly available dataset of protein-ligand pairs with annotated experimental binding potency data. According to the company, the ...

In an ambitious collaboration, researchers added 1.8 million high-confidence protein complex structure predictions to the ...

Researchers capture first-of-its-kind video of dynein–Lis1 protein interaction, supporting future drug development for neurological disorders. Our cells rely on microscopic highways and specialized ...

AI language models, used to generate human-like text to power chatbots and create content, are also revolutionizing biology ...