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.

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 ...

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.

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.

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 ...

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 ...

A new study Dec. 18 in Nature reports an AI-driven advance in biotechnology with implications for drug development, disease detection, and environmental monitoring. Scientists at the Institute for ...

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 ...