Researchers present ARES (Atomic Rotationally Equivariant Scorer) – a machine learning method that significantly improves the computational prediction of RNA structures over previous approaches. Like ...

The researchers matched the 3D shapes to the structures of proteins whose functions are already known. Because the structure of a protein directly contributes to its biological function, their study ...

Tiffanwy Klippel-Cooper of OmnigeniQ explains how physics-based modelling could help researchers better understand drug ...

The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...

The prediction of protein structure with the use of artificial intelligence and machine learning (AI–ML) is poised to transform how and when three-dimensional (3D) biostructure information is used in ...

Matthew Addicoat receives funding from EPSRC and the Royal Society. Using computers to carry out protein design and for predicting protein structures are two sides of the same coin. They are ...

It is still not fully understood how, despite having the same set of genes, cells turn into neurons, bones, skin, heart, or roughly 200 other kinds of cells, and then exhibit stable cellular behavior ...

Leveraging AI and quantum calculations, scientists developed a new tool that yielded higher-quality structural information ...

A new computational tool infers changes occurring at the ends of the chromosomes housing our DNA. It does so by detecting structural alterations in cells and tissues captured in images taken of ...