A team of NYU chemists and physicists are using cutting-edge tools—holographic microscopy and super-resolution imaging—to unlock how cells build and grow tiny, dynamic droplets known as biomolecular ...

Chemists at the University of Geneva and University of Pisa have crafted a novel family of chiral molecules whose mirror-image “handedness” remains rock-solid for tens of thousands of years. By ...

Accurate extraction of molecular representations is a critical step in the drug discovery process. In recent years, significant progress has been made in molecular representation learning methods, ...

Further, lung tissue IgA levels were increased in COVID-19 + and responded to peptide stimulation. Our study highlights the importance of utilization of human lung tissue models to understand the ...

Food scientists are paving the way for 3D-printed food and pharmaceuticals based on drought-tolerant grain sorghum protein that won't turn into a blob.

DCGCN decomposes the 3D point cloud data of a molecule into three components: atomic sequence, atomic connectivity, and a distance map. From its connectivity and distance information, DCGCN captures ...

We propose C3DPO, a method for extracting 3D models of deformable objects from 2D keypoint annotations in unconstrained images. We do so by learning a deep network that reconstructs a 3D object from a ...

Gadolinium (Gd[III])-based nanoaggregates are potential noninvasive magnetic resonance imaging (MRI) probes with excellent spatial and temporal resolution for cancer diagnosis. Peptides conjugated ...