AI Medical Compendium Journal:
Chemical science

Showing 21 to 30 of 55 articles

Graph-based machine learning interprets and predicts diagnostic isomer-selective ion-molecule reactions in tandem mass spectrometry.

Chemical science
Diagnostic ion-molecule reactions employed in tandem mass spectrometry experiments can frequently be used to differentiate between isomeric compounds unlike the popular collision-activated dissociation methodology. Selected neutral reagents, such as ...

Data enhanced Hammett-equation: reaction barriers in chemical space.

Chemical science
It is intriguing how the Hammett equation enables control of chemical reactivity throughout chemical space by separating the effect of substituents from chemical process variables, such as reaction mechanism, solvent, or temperature. We generalize Ha...

A near-infrared fluorescence probe for imaging of pantetheinase in cells and mice .

Chemical science
Pantetheinase is an amidohydrolase that cleaves pantetheine into pantothenic acid and cysteamine. Functional studies have found that ubiquitous expression of this enzyme is associated with many inflammatory diseases. However, the lack of near-infrare...

Illuminating elite patches of chemical space.

Chemical science
In the past few years, there has been considerable activity in both academic and industrial research to develop innovative machine learning approaches to locate novel, high-performing molecules in chemical space. Here we describe a new and fundamenta...

Thermodynamic rules for zeolite formation from machine learning based global optimization.

Chemical science
While the [TO] tetrahedron packing rule leads to millions of likely zeolite structures, there are currently only 252 types of zeolite frameworks reported after decades of synthetic efforts. The subtle synthetic conditions, the structure-directing ag...

Cytosine-5 methylation-directed construction of a Au nanoparticle-based nanosensor for simultaneous detection of multiple DNA methyltransferases at the single-molecule level.

Chemical science
DNA methylation at cytosine/guanine dinucleotide islands (CpGIs) is the most prominent epigenetic modification in prokaryotic and eukaryotic genomes. DNA methyltransferases (MTases) are responsible for genomic methylation, and their aberrant activiti...

Quantum-mechanical transition-state model combined with machine learning provides catalyst design features for selective Cr olefin oligomerization.

Chemical science
The use of data science tools to provide the emergence of non-trivial chemical features for catalyst design is an important goal in catalysis science. Additionally, there is currently no general strategy for computational homogeneous, molecular catal...

Triazole-based osmium(ii) complexes displaying red/near-IR luminescence: antimicrobial activity and super-resolution imaging.

Chemical science
Cellular uptake, luminescence imaging and antimicrobial activity against clinically relevant methicillin-resistant (MRSA) bacteria are reported. The osmium(ii) complexes [Os(^)] (^ = 1-benzyl-4-(pyrid-2-yl)-1,2,3-triazole ( ); 1-benzyl-4-(pyrimidin-...

Molecular design of antimicrobial conjugated oligoelectrolytes with enhanced selectivity toward bacterial cells.

Chemical science
A series of cationic conjugated oligoelectrolytes (COEs) was designed to understand how variations in molecular dimensions impact the relative activity against bacteria and mammalian cells. These COEs kept a consistent distyrylbenzene framework but d...

Predicting the chemical reactivity of organic materials using a machine-learning approach.

Chemical science
Stability and compatibility between chemical components are essential parameters that need to be considered in the selection of functional materials in configuring a system. In configuring devices such as batteries or solar cells, not only the functi...