Designing de novo proteins holds immense potential for achieving superior combinations of novel functions and mechanical properties, thereby advancing biological and engineering applications. However, ...

Proteins, the natural molecules that carry out key cellular functions within the body, are the building blocks of all diseases. Characterizing proteins can reveal the mechanisms of a disease, ...

With MassiveFold, scientists have unlocked AlphaFold's full potential, making high-confidence protein predictions faster and more accessible, fueling breakthroughs in biology and drug discovery. Brief ...

The “ChatGPT moment” for biology proceeds to unfold as protein language models, or machine learning tools trained on large databases of protein sequences, work to decode the language of life with the ...

Today (September 21), the Lasker Foundation announced this year’s award winners. John Jumper, a computational biologist at DeepMind, and Demis Hassabis, cofounder and CEO at DeepMind, were awarded the ...

Announcing a new publication for Acta Materia Medica journal. Proteins are essential macromolecules that perform functions according to their conformational dynamics. Studying the conformational ...

In the wee hours of an October morning, David Baker, a protein biologist at the University of Washington (UW), received the most-awaited phone call in a scientist’s career. Halfway around the world, ...

A multicolored protein structure is blurred at the edges and comes into focus toward the center. Detail of a protein designed using a tool called ProteinMPNN Credit: Ian C. Haydon/UW Institute for ...

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 ...

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 ...