A new computational breakthrough is giving scientists a clearer view into how dark matter structures evolve. Dark matter has ...

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

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 ...

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

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 ...

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

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 ...

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 ...