Database independent automated structure elucidation of organic molecules based on IR, $^1$H NMR, $^{13}$C NMR, and MS data

Autor: Janez Košmrlj, Matija Marolt, Andraž Juvan, Matevž Pesek, Martin Gazvoda, Jure Jakoš
Jazyk: angličtina
Rok vydání: 2023
Předmět:
organic molecules
infrardeča spektroskopija
Magnetic Resonance Spectroscopy
Databases
Factual

Computer science
Interface (Java)
General Chemical Engineering
Proton Magnetic Resonance Spectroscopy
molekulska struktura
molecular structure
Library and Information Sciences
infrared light
computer.software_genre
organske molekule
01 natural sciences
algoritem
Article
0103 physical sciences
Molecule
udc:547:544.1:004.65
infrared spectroscopy
nuclear magnetic resonance spectroscopy
algorithm
010304 chemical physics
Database
Molecular Structure
carbon
General Chemistry
Nuclear magnetic resonance spectroscopy
Carbon-13 NMR
NMR
0104 chemical sciences
Computer Science Applications
jedrska magnetna resonanca
NMR spectra database
010404 medicinal & biomolecular chemistry
Proton NMR
Graph (abstract data type)
User interface
computer
Algorithms
Zdroj: Journal of chemical information and modeling, vol. 61, no. 2, pp. 756-763, 2021.
Journal of Chemical Information and Modeling
ISSN: 1549-9596
Popis: Herein, we report a computational algorithm that follows a spectroscopist-driven elucidation process of the structure of an organic molecule based on IR, $^1$H and $^{13}$C NMR, and MS tabular data. The algorithm is independent from database searching and is based on a bottom-up approach, building the molecular structure from small structural fragments visible in spectra. It employs an analytical combinatorial approach with a graph search technique to determine the connectivity of structural fragments that is based on the analysis of the NMR spectra, to connect the identified structural fragments into a molecular structure. After the process is completed, the interface lists the compound candidates, which are visualized by the WolframAlpha computational knowledge engine within the interface. The candidates are ranked according to the predefined rules for analyzing the spectral data. The developed elucidator has a user-friendly web interface and is publicly available (http://schmarnica. si).
Databáze: OpenAIRE