Results 11 to 20 of about 297,128 (308)
Fetching marked items from an unsorted database in NMR ensemble computing [PDF]
Searching a marked item or several marked items from an unsorted database is a very difficult mathematical problem. Using classical computer, it requires $O(N=2^n)$ steps to find the target. Using a quantum computer, Grover's algorithm uses $O(\sqrt{N=2^n})$ steps. In NMR ensemble computing, Brushweiler's algorithm uses $\log N$ steps.
A. S. Verhulst+14 more
arxiv +3 more sources
Metabolite identification in non-targeted NMR-based metabolomics remains a challenge. While many peaks of frequently occurring metabolites are assigned, there is a high number of unknowns in high-resolution NMR spectra, hampering biological conclusions ...
Silke S. Heinzmann+3 more
doaj +1 more source
Pseudo-resonance structures in chiral alcohols and amines and their possible aggregation states
We now report that some chiral compounds, like alcohols, which are not sterically hindered atropisomers nor epimer mixtures, exhibit two sets of simultaneous NMR spectra in CDCl3.
Huajie Zhu+21 more
doaj +1 more source
A series of β-d-ribofuranosides and ribonucleosides fused with 2,3-O-isopropylidene ring was synthesized and studied in terms of their conformational preferences.
Dominik Walczak+4 more
semanticscholar +1 more source
Charting the solid-state NMR signals of polysaccharides: A database-driven roadmap.
Solid-state nuclear magnetic resonance (ssNMR) measurements of intact cell walls and cellular samples often generate spectra that are difficult to interpret due to the presence of many coexisting glycans and the structural polymorphism observed in native
Wancheng Zhao+4 more
semanticscholar +1 more source
Nuclear magnetic resonance (NMR) provides site specific information on local environments through chemical shifts. NMR is widely used in the study of proteins, ranging from determination of three‐dimensional (3D) structures to characterizing dynamics and
Ian J Fucci, R. A. Byrd
semanticscholar +1 more source
This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi+4 more
wiley +1 more source
The majority of primary and secondary metabolites in nature have yet to be identified, representing a major challenge for metabolomics studies that currently require reference libraries from analyses of authentic compounds.
Yasemin Yesiltepe+3 more
doaj +1 more source
The photolysis of fenvalerate, a pyrethroid insecticide, was studied in acetonitrile by 1H nuclear magnetic resonance (NMR) and 13C NMR to identify the site of bond cleavage and gas chromatography-mass spectrometry (GC-MS) to establish the chemical ...
Diène Diégane Thiaré+9 more
doaj +1 more source
¹³C NMR metabolomics: applications at natural abundance. [PDF]
(13)C NMR has many advantages for a metabolomics study, including a large spectral dispersion, narrow singlets at natural abundance, and a direct measure of the backbone structures of metabolites.
Clendinen, Chaevien+7 more
core +3 more sources