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, ...
AI protein function prediction is reshaping how laboratories approach protein annotation, hypothesis generation, and translational research. As sequencing technologies continue to outpace experimental ...
Generalist Biological AI Models Decode the Language of Life Biology has always been an information science at heart. DNA stores ...
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 ...
In an ambitious collaboration, researchers added 1.8 million high-confidence protein complex structure predictions to 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 ...
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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.
Announcing a new publication for Acta Materia Medica journal. Proteins are essential macromolecules that perform functions according to their conformational dynamics. Studying the conformational ...
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