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, ...

Scientists have developed a new blood test that could spot Alzheimer’s earlier by detecting hidden changes in how proteins fold in the bloodstream.

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 ...

Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...

Abstract: Drug-Target Affinity (DTA) prediction plays a crucial role in drug discovery, and accurate DTA prediction can significantly reduce the cost of drug development. While most studies focus on ...

The script rfdiff_mpnn_af2_merged.py runs a pipeline to automate the processes of generating protein structures with RFdiffusion, sequence generation with ProteinMPNN, and folding and evaluation with ...

Artificial intelligence isn’t just changing how we search the web or generate images. It is reshaping how scientists approach one of biology’s oldest problems: the folding of proteins. Google DeepMind ...

As bispecifics, ADCs, protein degraders, and AI-designed mini-proteins move into the clinic, discovery teams face a new bottleneck: engineering and producing molecules whose complexity challenges ...

“I’ll be shocked if we don’t see more and more LLM impact on science,” says John Jumper. In 2017, fresh off a PhD on theoretical chemistry, John Jumper heard rumors that Google DeepMind had moved on ...

A new AI model is opening the black box of the leading artificial intelligence tool for predicting how proteins will interact with small molecules, such as drugs. The model, OpenFold3, which launched ...

The first full-length structures of two heat shock chaperone proteins in a complex reveal the key structural region regulating their function, according to a new study from St. Jude Children's ...

Abstract: In recent years, deep learning on protein structures has attracted widespread attention, as structures determine proteins' function. A series of structure-based protein property prediction ...