In biology textbooks and beyond, the human genome and DNA therein typically are taught in only one dimension. While it can be ...

Shading brings 3D forms to life, beautifully carving out the shape of objects around us. Despite the importance of shading ...

Using intricate geometry found in nature and refined through aerospace and biomedical design, scientists have now 3D-printed ...

Inductive bias in machine learning (ML) is the set of assumptions describing how a model makes predictions. Different ML-based methods for protein-ligand binding affinity (PLA) prediction have ...

Scientists claim that humanity, the Earth, and everything else in the universe are really part of a giant holographic ...

Graphene, a single-atom-thin sheet of carbon, is probably the most famous 2D material, but it's not a semiconductor. There are 2D materials that are good semiconductors, though, like molybdenum ...

Generating all-atom protein structures is a significant challenge in de novo protein design. Current generative models have improved significantly for backbone generation but remain difficult to solve ...

Another is to map a protein’s 3D structure and—with a dose of physics—predict how it can grab onto other molecules. While AlphaFold 2 mostly used an evolutionary approach—training the AI on what we ...

Conclusion These three methods for creating a small 3D atom model cater to different skill levels, materials availability, and educational preferences. As students engage in this hands-on activity, ...

The prediction of protein structure is difficult for a few reasons. First, there is a huge search space — every possible 3D position for each atom in each amino acid.