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 ...

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 ...

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 ...

Scientists at St. Jude Children’s Research Hospital improved bispecific chimeric antigen receptor (CAR) T–cell immunotherapies for acute myeloid leukemia (AML), corroborated by computational analysis ...

A new tool for computational design allows users to turn any 3-D shape into a collapsible telescoping structure. New mathematical methods capture the complex and diverse properties of such structures, ...

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