The alternative text for this image may have been generated using AI. We set out to develop general methods for designing proteins that bind peptides in helical conformations. To fully leverage recent ...

An illustration of antibodies, colored pink and blue, over a white background. Antibodies’ flexible loop structures make them difficult to crack with artificial intelligence. Credit: Ian C.

"Despite significant advances in computational protein design in recent years, designing protein binders from scratch remains challenging," explains the study's first author, Kateryna Maksymenko. "To ...

Textbooks often depict proteins in one conformation, but real life, as usual, is much messier. While some proteins have stable, unchanging structures, many others have intrinsically disordered regions ...

PepMLM, a protein language model fine-tuned on protein–peptide data, can generate potent, target-specific linear peptides capable of binding to and degrading proteins ranging from cancer receptors to ...

The Baker lab at the Institute for Protein Design at the University of Washington School of Medicine continues to drive innovation in AI-driven advances for protein design. This time, the team used ...

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 ...

Manifold Bio, a platform therapeutics company pioneering direct-to-vivo drug discovery, today announced a joint study with NVIDIA to validate Proteina-Complexa, NVIDIA's generative model for protein ...

An MIT-developed AI model has designed dozens of lab-confirmed protein binders for targets long considered out of reach, offering a new tool for drug discovery and ...

In the human body, the boundary between health and severe illness can be microscopic. For decades, molecular scientists have grappled with a frustrating biological reality: the proteins driving ...