CHONDROITIN SULFATE AND GLUCOSAMINE SULFATE AS PROTECTIVE AND ANTI-INFLAMMATORY AGENTS IN THE ULCERATIVE COLITIS DSS MODEL IN RATS.

Chondroitin sulfate (CS) and glucosamine (GlcN) are indicated for the treatment of some inflammatory diseases, such as osteoarthritis, mainly because of the anti-inflammatory effects in reducing metalloproteinases activities (MMP), and other inflammatory mediators. Herein, we reported the structure of the CS, the anti-inflammatory and protective effects of the CS, and GlcN administration in ulcerative colitis model induced by dextran sulfate sodium (DSS) in rats. Experimental data indicated that CS disaccharide composition is very similar to the C4S standard, with modal molecular weight at 30.

Improved Image Caption Rating - Datasets, Game, and Model.

How well a caption fits an image can be difficult to assess due to the subjective nature of caption quality. What is a caption? We investigate this problem by focusing on image-caption ratings and by generating high quality datasets from human feedback with gamification. We validate the datasets by showing a higher level of inter-rater agreement, and by using them to train custom machine learning models to predict new ratings.

Nonviral Delivery of CRISPR-Cas9 Using Protein-Agnostic, High-Loading Porous Silicon and Polymer Nanoparticles.

The complexity of CRISPR machinery is a challenge to its application for nonviral therapeutic gene editing. Here, we demonstrate that proteins, regardless of size or charge, efficiently load into porous silicon nanoparticles (PSiNPs). Optimizing the loading strategy yields formulations that are ultrahigh loading─>40% cargo by volume─and highly active.

ZINC-22─A Free Multi-Billion-Scale Database of Tangible Compounds for Ligand Discovery.

Purchasable chemical space has grown rapidly into the tens of billions of molecules, providing unprecedented opportunities for ligand discovery but straining the tools that might exploit these molecules at scale. We have therefore developed ZINC-22, a database of commercially accessible small molecules derived from multi-billion-scale make-on-demand libraries. The new database and tools enable analog searching in this vast new space via a facile GUI, CartBlanche, drawing on similarity methods that scale sublinearly in the number of molecules.