Recent advances in computational biology have revolutionised the field of protein structure and function prediction. Traditionally, determining the three‐dimensional architecture of a protein from its ...

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 ...

David Baker, Demis Hassabis and John M. Jumper shared the Nobel Prize in Chemistry on Wednesday for their work on protein structure. Atila Altuntas / Anadolu via Getty Images On Wednesday morning, ...

Astronomers use the term dark energy to refer to energy in the universe that is unaccounted for by ordinary matter but necessary to explain cosmology. Astronomy, however, isn't the only field with ...

Researchers at Kanazawa University report in eLife on deciphering the actin structure-dependent preferential cooperative binding of cofilin. The actin filament is a double-stranded helical structure ...

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, ...

Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction. Researchers from Cleveland Clinic and IBM recently ...

In an ambitious collaboration, researchers added 1.8 million high-confidence protein complex structure predictions to the AlphaFold Database, accelerating molecular biology research.

Scientists at Walter and Elizabeth Hall Institute (WEHI) have made what they describe as a huge leap forward in the fight against Parkinson’s disease, solving a decades-long mystery by determining the ...

AI protein function prediction is reshaping how laboratories approach protein annotation, hypothesis generation, and translational research. As sequencing technologies continue to outpace experimental ...