New software tools, databases, and resources in metabolomics: Updates from 2020

BB Misra - Metabolomics, 2021 - Springer
Background Precision medicine, space exploration, drug discovery to characterization of
dark chemical space of habitats and organisms, metabolomics takes a centre stage in …

Advances in decomposing complex metabolite mixtures using substructure-and network-based computational metabolomics approaches

MA Beniddir, KB Kang, G Genta-Jouve, F Huber… - Natural product …, 2021 - pubs.rsc.org
Covering: up to the end of 2020 Recently introduced computational metabolome mining
tools have started to positively impact the chemical and biological interpretation of …

Twenty years of nmrshiftdb2: A case study of an open database for analytical chemistry

S Kuhn, H Kolshorn, C Steinbeck… - Magnetic Resonance in …, 2024 - Wiley Online Library
Abstract In October 2003, 20 years ago, the open‐source and open‐content database
NMRshiftDB was announced. Since then, the database, renamed as nmrshiftdb2 later, has …

NMR as a tool for compound identification in mixtures

RM Borges, GA Ferreira, MM Campos… - Phytochemical …, 2023 - Wiley Online Library
Introduction Natural products and metabolomics are intrinsically linked through efforts to
analyze complex mixtures for compound annotation. Although most studies that aim for …

[HTML][HTML] Nuclear Magnetic Resonance and Artificial Intelligence

S Kuhn, RP de Jesus, RM Borges - Encyclopedia, 2024 - mdpi.com
This review explores the current applications of artificial intelligence (AI) in nuclear magnetic
resonance (NMR) spectroscopy, with a particular emphasis on small molecule chemistry …

[HTML][HTML] Metabolomics: An emerging “omics” platform for systems biology and its implications for huntington disease research

S Akyol, N Ashrafi, A Yilmaz, O Turkoglu, SF Graham - Metabolites, 2023 - mdpi.com
Huntington's disease (HD) is a progressive, fatal neurodegenerative disease characterized
by motor, cognitive, and psychiatric symptoms. The precise mechanisms of HD progression …

SMART‐Miner: A convolutional neural network‐based metabolite identification from 1H‐13C HSQC spectra

HW Kim, C Zhang, GW Cottrell… - Magnetic Resonance in …, 2022 - Wiley Online Library
The identification of metabolites from complex biofluids and extracts of tissues is an
essential process for understanding metabolic profiles. Nuclear magnetic resonance (NMR) …

Exploring correlations between MS and NMR for compound identification using essential oils: A pilot study

RM Borges, JVM Resende, AP Pinto… - Phytochemical …, 2022 - Wiley Online Library
Introduction In this era of 'omics' technology in natural products studies, the complementary
aspects of mass spectrometry (MS)‐and nuclear magnetic resonance (NMR)‐based …

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

S Kuhn, E Tumer, S Colreavy‐Donnelly… - Magnetic …, 2022 - Wiley Online Library
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 …

Combining high-speed countercurrent chromatography three-phase solvent system with electrospray ionization-mass spectrometry and nuclear magnetic resonance …

AG Lopes, RM Borges, S Kuhn, R Garrett… - … of Chromatography A, 2022 - Elsevier
Abstract Syzygium malaccense (L.) Merr. & LM Perry is a native tree to Malaysia, but also
occurs in other tropical regions of the world, including Brazil. The increasing interest in the …