Design and directed evolution of noncanonical β-stereoselective metalloglycosidases.

Metallohydrolases are ubiquitous in nearly all subclasses of hydrolases, utilizing metal elements to activate a water molecule and facilitate its subsequent dissociation of diverse chemical bonds. However, such a catalytic role of metal ions is rarely found with glycosidases that hydrolyze the glycosidic bonds in sugars. Herein, we design metalloglycosidases by constructing a hydrolytically active Zn-binding site within a barrel-shaped outer membrane protein OmpF.

Development of a GPU-Accelerated NDT Localization Algorithm for GNSS-Denied Urban Areas.

There are numerous global navigation satellite system-denied regions in urban areas, where the localization of autonomous driving remains a challenge. To address this problem, a high-resolution light detection and ranging (LiDAR) sensor was recently developed. Various methods have been proposed to improve the accuracy of localization using precise distance measurements derived from LiDAR sensors.

Proteins as diverse, efficient, and evolvable scaffolds for artificial metalloenzymes.

By combining synthetic catalysts and biochemical tools, numerous artificial metalloenzymes have been designed to exhibit high catalytic activity and selectivity in diverse chemical transformations. Out of the nearly infinite number of discovered or characterised proteins, however, only a handful of proteins have been employed as scaffolds for artificial metalloenzymes, implying that specific proteins are preferred owing to their native structural, functional, or biochemical properties. In the present review, we extract and group the biochemical and structural properties of proteins that are advantageous in the design of artificial metalloenzymes; protein stability, pre-existing metal centre, native binding affinity for small molecules, confined and empty space, well-defined secondary structure, and native cellular location.