In a recent study published in the journal Nature Machine Intelligence, researchers developed "DeepGO-SE," a method to predict gene ontology (GO) functions from protein sequences using a large, ...

A novel bioinformatics approach for classifying proteins according to similarity of function, rather than of sequence, is described in the April 12 PNAS. Albert Y. Lau and Daniel I. Chasman of ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

Researchers from the University of Illinois at Urbana-Champaign and the University of California-Davis (UC Davis) are combining in vivo experimentation with computation for highly accurate prediction ...

In an ambitious collaboration, researchers added 1.8 million high-confidence protein complex structure predictions to the AlphaFold Database, accelerating molecular biology research.

A new artificial intelligence model can predict how different proteins may bind to DNA. A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how ...

Proteins are important molecules that perform a variety of functions essential to life. To function properly, many proteins must fold into specific structures. However, the way proteins fold into ...

University of Michigan researchers have developed a new, more efficient technique for predicting protein properties, according to a study published in March. The study used a combination of ...

Proteins sourced from microorganisms are attracting attention for their potential in biomanufacturing a variety of products, including pharmaceuticals, industrial enzymes, and diagnostic antibodies.