You will be redirected to our submission process. AI in protein science is advancing fast, from structure prediction and protein language models to function annotation, mutational effect prediction, ...

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.

The GPCRact AI model goes beyond AlphaFold3 by predicting whether drugs functionally activate G-protein-coupled receptors through allosteric signaling.

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

Researchers present BioEmu – a new AI model that rapidly and accurately predicts the full range of shapes a protein can adopt, offering a faster, cheaper alternative to traditional molecular ...

Google DeepMind's AI model for predicting the structures of proteins and other biological molecules, AlphaFold 3, has been implemented in an open source manner and the ongoing research project has ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...