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, ...

Protein function prediction and annotation represent critical challenges in the post‐genomic era. As high‐throughput sequencing continues to generate vast amounts of protein data, computational ...

A novel combination of machine learning approaches results in a new state-of-the-art in predicting where proteins go and what they do. This new approach enhances our ability to uncover the hidden food ...

Evo’s success wasn’t limited to proteins. When they tested a different toxin that had an RNA-based inhibitor, the system ...

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 review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...

On Wednesday, the Nobel Committee announced that it had awarded the Nobel Prize in chemistry to researchers who pioneered major breakthroughs in computational chemistry. These include two researchers ...

As people around the world marveled in July at the most detailed pictures of the cosmos snapped by the James Webb Space Telescope, biologists got their first glimpses of a different set of images — ...

Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the ...