A computational biology company that started in space tech is looking to change how biopharma finds disease targets by ...

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...

Artificial intelligence has solved one of biology’s most stubborn mysteries: how proteins fold into their intricate three-dimensional shapes. But as the field shifts from prediction to application, a ...

Gero, a biotechnology company developing novel therapeutics for aging and chronic diseases, has released ProtoBind-Diff, a novel masked diffusion language model that generates drug-like molecules for ...

MIT researchers have built an AI language model that learns the internal coding patterns of a yeast species widely used to manufacture protein-based drugs, then rewrites gene sequences to push protein ...

The chains of amino acids that make up proteins are critical to every form of life. The complex ways that these proteins fold and interact has fascinated researchers for decades. Exactly how a protein ...

Drug discovery has not yet had its “ChatGPT moment,” according to Arman Zaribafiyan, PhD, head of product, AI simulation and platforms, at SandboxAQ, in an interview with GEN. “We can’t rely only on ...

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...

Various approaches to such protein redesign have drawbacks. Traditional methods include time-consuming trial and error efforts, and many models in the emerging field ...

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 ...