The fields of protein-structure prediction and protein design started after the elucidation of the principles that govern protein folding. After all, the ability to predict structure ab initio ...

Schematic image of X-ray data-enhanced computational method. Image Credit: University of Tokyo The method predicts structures directly from powder X-ray diffraction patterns, which are created when ...

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

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 ...

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 ...

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 ...

Academics OverviewExplore our degrees, programs, courses, and other enrichment opportunities. All Areas of StudyView a chart of all study areas cross-categorized by degree type. Undergraduate Study ...

A researcher from the University of Tokyo and a U.S.-based structural engineer developed a new computational form-finding method that could change how architects and engineers design lightweight and ...

Keywords: Earthquakes, Unreinforced masonry, In-plane, Out-of-plane, Bidirectional loading, Experiment, Finite element, Interaction curves Abstract: Existing material models and numerical procedures ...