AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...
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 ...
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 ...
Microbes drive key processes of life on Earth. They affect global elemental cycles—the movement of carbon, nitrogen, and other elements. They also promote plant growth and affect the development of ...
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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 ...
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 ...
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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