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 ...

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

The 2024 Nobel Prize in Chemistry goes to researchers who cracked the code for proteins’ structures, the Royal Swedish Academy of Sciences announced today (Oct 9). David Baker, a biochemist at the ...

A new artificial intelligence (AI) tool that draws logical inferences about the function of unknown proteins promises to help scientists unravel the inner workings of the cell. Developed by KAUST ...

The 2024 Nobel Prize in Chemistry is for computational protein design and structure prediction. David Baker, Demis Hassabis and John M. Jumper took home the prize for their work using artificial ...

Advances in generative AI, automation, and high‑throughput experimentation are rapidly changing protein engineering, enabling faster design, stability prediction, and functional optimization. New ...

Announcing a new publication for Acta Materia Medica journal. Proteins are essential macromolecules that perform functions according to their conformational dynamics. Studying the conformational ...

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 ...