MS/MS-based molecular networking: an efficient approach for natural products Dereplication
GF Qin, X Zhang, F Zhu, ZQ Huo, QQ Yao, Q Feng… - Molecules, 2022 - mdpi.com
Natural products (NPs) have historically played a primary role in the discovery of small-
molecule drugs. However, due to the advent of other methodologies and the drawbacks of …
molecule drugs. However, due to the advent of other methodologies and the drawbacks of …
Synthesis of High-Order and High-Oxidation State Securinega Alkaloids
Conspectus Securinega alkaloids, composed of more than 100 members characterized by
the compact tetracyclic scaffold, have fascinated the synthetic community with their structural …
the compact tetracyclic scaffold, have fascinated the synthetic community with their structural …
Molecular Networking-Guided Isolation of Cyclopentapeptides from the Hydrothermal Vent Sediment Derived Fungus Aspergillus pseudoviridinutans TW58-5 and …
W Ding, D Tian, M Chen, Z Xia, X Tang… - Journal of Natural …, 2023 - ACS Publications
Repetitive isolation of known compounds remains a major challenge in natural-product-
based drug discovery. LC-MS/MS-based molecular networking has become a highly …
based drug discovery. LC-MS/MS-based molecular networking has become a highly …
Synthesis of Dimeric Securinega Alkaloid Flueggeacosine B: From Pd-Catalyzed Cross-Coupling to Cu-Catalyzed Cross-Dehydrogenative Coupling
We completed the synthesis of dimeric high-oxidation-state securinega alkaloid
flueggeacosine B via two synthetic routes from allosecurinine. The first-generation synthesis …
flueggeacosine B via two synthetic routes from allosecurinine. The first-generation synthesis …
A Structure-Guided Molecular Network Strategy for Global Untargeted Metabolomics Data Annotation
X Wang, C Li, Z Li, Y Qi, X Zhang, X Zhao… - Analytical …, 2023 - ACS Publications
Large-scale metabolite annotation is a bottleneck in untargeted metabolomics. Here, we
present a structure-guided molecular network strategy (SGMNS) for deep annotation of …
present a structure-guided molecular network strategy (SGMNS) for deep annotation of …
[HTML][HTML] Bioactivities and mechanism of action of securinega alkaloids derivatives reported prior to 2022
W Hou, H Huang, XQ Wu, JX Lan - Biomedicine & Pharmacotherapy, 2023 - Elsevier
Securinega alkaloids are indolizidine alkaloids extracted from the leaf and root of an Asian
plant, Securinega suffruticosa. Since its discovery in 1956 by Russian scientists, numerous …
plant, Securinega suffruticosa. Since its discovery in 1956 by Russian scientists, numerous …
Frontier studies on natural products: moving toward paradigm shifts
JX Zhao, JM Yue - Science China Chemistry, 2023 - Springer
Natural products (NPs) historically serve as a valuable and productive source of bioactive
compounds for drug development. The discovery of a range of alkaloids in the early 1800s …
compounds for drug development. The discovery of a range of alkaloids in the early 1800s …
Combining multidimensional chromatography-mass spectrometry and feature-based molecular networking methods for the systematic characterization of compounds …
B Qu, Y Liu, A Shen, Z Guo, L Yu, D Liu, F Huang… - Analyst, 2023 - pubs.rsc.org
Tripterygium wilfordii Hook F from the family Celastraceae is a traditional Chinese medicine
(TCM) whose principal chemical constituents are terpenoids, including sesquiterpene …
(TCM) whose principal chemical constituents are terpenoids, including sesquiterpene …
Chlospicenes A and B, cyclopropane cracked lindenane sesquiterpenoid dimers with anti-nonalcoholic steatohepatitis activity from Chloranthus henryi
J Li, Z Cui, Y Li, C Han, Y Zhang, P Tang, L Cui… - Chinese Chemical …, 2022 - Elsevier
Guided by MS/MS molecular networks strategy, chlospicenes A and B (1 and 2), the first
example of cyclopropane moiety cracked lindenane sesquiterpene Michael addition dimers …
example of cyclopropane moiety cracked lindenane sesquiterpene Michael addition dimers …
Machine learning-assisted structure annotation of natural products based on MS and NMR data
G Hu, M Qiu - Natural Product Reports, 2023 - pubs.rsc.org
Covering: up to March 2023Machine learning (ML) has emerged as a popular tool for
analyzing the structures of natural products (NPs). This review presents a summary of the …
analyzing the structures of natural products (NPs). This review presents a summary of the …