2023
DOI: 10.1021/acs.jnatprod.3c00468
|View full text |Cite
|
Sign up to set email alerts
|

Discovery of Naphthol Tetramers from Endolichenic Fungus Daldinia childiae 047219 Based on MS/MS Molecular Networking

Jaekyeong Kim,
Mei Tong He,
Jae-Seoun Hur
et al.
Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0
1

Year Published

2024
2024
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(4 citation statements)
references
References 23 publications
(43 reference statements)
0
3
0
1
Order By: Relevance
“…Since 2015, 25 chromogenic ketones together with 22 isocoumarins have been reported. For example, Kim et al isolated two new chromones, phomalichenones C-D (44)(45), and three known chromone derivatives (46)(47)(48) from the endolichenic fungus Phoma sp. in 2018 [28].…”
Section: Simple Aromatic Polyketidesmentioning
confidence: 99%
See 2 more Smart Citations
“…Since 2015, 25 chromogenic ketones together with 22 isocoumarins have been reported. For example, Kim et al isolated two new chromones, phomalichenones C-D (44)(45), and three known chromone derivatives (46)(47)(48) from the endolichenic fungus Phoma sp. in 2018 [28].…”
Section: Simple Aromatic Polyketidesmentioning
confidence: 99%
“…In 2022, the compound 4,6dihydroxy-5-methylphthalide (118) was isolated from the endolichenic fungus Talaromyces sp., associated with Xanthoparmelia angustiphylla, by Yuan et al [35]. Kim et al developed an efficient methodology using a feature-based MS/MS molecular networking analysis to discover the novel secondary metabolites from the reported endolichenic fungus, and this successfully resulted in the isolation of four compounds, 1,8-dimethoxy naphthalene (119), 8-methoxy-1-naphthol (120), 1-(2,6-dihydroxyphenyl)butan-1-one (121), and 2,6dihydroxya-cetophenone (122), from Daldinia childae in 2023 [45].…”
Section: Simple Aromatic Polyketidesmentioning
confidence: 99%
See 1 more Smart Citation
“…Molecular networking (MN) arranges MS/MS spectra into a network-shaped map based on spectral similarity indicating structural similarity between molecules. , Molecular networking is a potent method for rapid and effective dereplication and targeted discovery of natural products, making it possible to predict the molecular composition of extracts before laborious chromatographic isolation and in-depth structure identification. , …”
mentioning
confidence: 99%