A team of researchers has built a new protein sequencing workflow that pairs mirror proteases with deep learning software to read peptide sequences with far greater accuracy than previous methods.

Proteins, one of the smallest building blocks of life on Earth, hold promise for answering some of biology's biggest ...

Protein sequencing presents different challenges than nucleic acid sequencing, meaning that proteomics has yet to benefit as much as genomics from the next-generation sequencing revolution. However, ...

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

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 ...

Whether you’re interested in why a living system works as it does or the reasons it goes awry, proteins are a critical part of the molecular picture. The proteins circulating in a person’s plasma can ...

Pranam Chatterjee, PhD, assistant professor of bioengineering at the University of Pennsylvania (UPenn), emphasizes that text is all you need for artificial intelligence (AI) models to effectively ...

A new LMU study shows how proteins function reliably even without a stable 3D structure – and the crucial importance not only of short sequence motifs, but also of the chemical characteristics.

Researchers have revealed how bacteria precisely control the genes that trigger cell division. The study shows that the MraZ protein, which normally forms a donut-shaped structure, must bend and ...

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 ...