Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique ...

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 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 ...

Chemical reactions are the breaking and forming of chemical bonds, which are fundamental to the creation of new technologies. Inevitably, discovering and developing new chemical reactions is a ...

Researchers used computational modeling to reveal finer details surrounding the outer shell of the COVID-19 virus. The work expands the scientific community's understanding of SARS-COV-2, and could ...

AI takes centre stage at an EMBO workshop exploring emerging trends, collaborative opportunities, and recent advances in computational structural ...

AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...

Now, a team of scientists at Gladstone Institutes and the Innovative Genomics Institute led by Jennifer Doudna, PhD, have harnessed computational tools to predict the three-dimensional shapes of ...

Today, DeepMind announced that it has seemingly solved one of biology’s outstanding problems: how the string of amino acids in a protein folds up into a three-dimensional shape that enables their ...

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 ...