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, ...
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 ...
AI protein function prediction is reshaping how laboratories approach protein annotation, hypothesis generation, and translational research. As sequencing technologies continue to outpace experimental ...
In an ambitious collaboration, researchers added 1.8 million high-confidence protein complex structure predictions to the ...
With AI, it's now possible for researchers to predict the three-dimensional structures of proteins directly from their ...
DNA sequence features predict genome-wide binding pattern of key protein involved in brain disorders
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 ...
Hosted on MSN
AI model predicts peptide sequences that prevent ribosome stalling in E. coli protein production
Proteins sourced from microorganisms are attracting attention for their potential in biomanufacturing a variety of products, including pharmaceuticals, industrial enzymes, and diagnostic antibodies.
Hosted on MSN
Order from disordered proteins: Physics-based algorithm designs biomolecules with custom properties
In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins with specific functions, from antibodies to blood clotting agents, by using ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results