Neo-1 is the first model to unify de novo molecular generation and atomic-level structure prediction in a single model, by generating latent representations of whole molecules instead of predicting ...

Scientists have designed a publicly-available software and web database to break down barriers to identifying key protein-protein interactions to treat with medication. The computational tool is ...

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 ...

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 ...

For the field of drug development, hitting the right target with atomic precision to achieve therapeutic effect remains the core challenge. While traditional R&D pipelines are dependent on ...

They build our bodies and orchestrate the molecular processes in cells that keep them healthy. They also present a wealth of targets for new medications. From everyday pain relievers to sophisticated ...

Membrane proteins and membrane lipids are essential partners in various biological processes, and elucidating their ...

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 ...

In the early 1980s, David Gilmour, now an emeritus biochemistry and molecular biology professor at Pennsylvania State University, joined the laboratory of geneticist and biochemist John Lis as a ...