AI Medical Compendium Journal:
Magnetic resonance in chemistry : MRC

Showing 1 to 6 of 6 articles

The rise of the machines in chemistry.

Magnetic resonance in chemistry : MRC
The use of artificial intelligence and, more specifically, deep learning methods in chemistry is becoming increasingly common. Applications in informatics fields, such as cheminformatics and proteomics, structural biology, and spectroscopy, including...

Identifying molecular functional groups of organic compounds by deep learning of NMR data.

Magnetic resonance in chemistry : MRC
We preprocess the raw nuclear magnetic resonance (NMR) spectrum and extract key features by using two different methodologies, called equidistant sampling and peak sampling for subsequent substructure pattern recognition. We also provide a strategy t...

A pilot study for fragment identification using 2D NMR and deep learning.

Magnetic resonance in chemistry : MRC
This paper presents a proof of concept of a method to identify substructures in 2D NMR spectra of mixtures using a bespoke image-based convolutional neural network application. This is done using HSQC and HMBC spectra separately and in combination. T...

Prediction of N chemical shifts by machine learning.

Magnetic resonance in chemistry : MRC
We demonstrate the potential for machine learning systems to predict three-dimensional (3D)-relevant NMR properties beyond traditional H- and C-based data, with comparable accuracy to density functional theory (DFT) (but orders of magnitude faster)...

Accurate classification of brain gliomas by discriminate dictionary learning based on projective dictionary pair learning of proton magnetic resonance spectra.

Magnetic resonance in chemistry : MRC
Proton magnetic resonance spectroscopy is a powerful noninvasive technique that complements the structural images of cMRI, which aids biomedical and clinical researches, by identifying and visualizing the compositions of various metabolites within th...