image: Deep learning methods have been used to augment existing energy-based physical models in ‘do novo’ or from-scratch computational protein design, resulting in a 10-fold increase in success rates ...

Physical interactions between proteins influence anything from cell signaling and growth to immune responses, so the ability to control these interactions is of great interest to biologists.

"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 ...

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 ...

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

Although proteins are composed out of only a small number of distinct amino acids, this deceptive simplicity quickly vanishes when considering the many possible sequences across a protein, not to ...

Researchers at the University of Toronto have developed an artificial intelligence system that can create proteins not found in nature using generative diffusion, the same technology behind popular ...

Proteins are biology’s molecular machines. They’re our bodies’ construction workers—making muscle, bone, and brain; regulators—keeping systems in check; and local internet—responsible for the ...

Since its release in 2024, the open-source platform BindCraft, developed at EPFL, has already disrupted the world of protein design. Physical interactions between proteins influence anything from cell ...