Overview of the PSP pipeline. Following genomic sequencing, the primary amino acid sequence is determined. The experimental method then starts with expressing this protein by genetically modifying ...

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 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, ...

In a paper recently published in Nature Communications, the HUN-REN-ELTE Protein Modeling Research Group (Institute of Chemistry) has laid the foundations for a mathematical method, allowing the ...

An innovative machine learning approach has been shown to rapidly predict multiple protein configurations. A new paper presents the method that predicts the relative populations of protein ...

Researchers developed a new machine learning method that, given a relevant amino acid sequence, can automatically predict the location of a protein in any human cell line down to the single-cell level ...

We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research team has proposed a cutting-edge research strategy that leverages artificial ...

We know the genes, but not their functions.” To resolve this long-standing bottleneck in microbial research, a joint research ...

Scientists at Lawrence Livermore National Laboratory (LLNL) and collaborators at Advanced Micro Devices (AMD) and Columbia University report they have achieved a milestone in biological computing: ...

Research on thousands of proteins measured from a drop of blood demonstrates the ability of proteins to predict the onset of many diverse diseases. The research, published today (22 July 2024) in ...