2020
DOI: 10.1101/2020.07.01.181859
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Finding New Molecular Targets of Familiar Natural Products Using In Silico Target Prediction

Abstract: ABSTRACTNatural products comprise a rich reservoir for innovative drug leads and are a constant source of bioactive compounds. To find pharmacological targets for new or already known natural products using modern computer-aided methods is a current endeavor in drug discovery. Nature’s treasures, however, could be used more effectively. Yet, reliable pipelines for large scale target prediction of natural products are still rare. We have developed an in silico workflow consistin… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
2
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
3
1

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 82 publications
(65 reference statements)
0
2
0
Order By: Relevance
“…In a previous study, Mayr et al described the general suitability of various natural chalcones as potential AKR1C3 inhibitors [ 39 ]. In this work, 11 closely related natural products with a dihydrochalcone or chalcone skeleton were submitted to enzyme inhibition assays on 17β-hydroxysteroid dehydrogenases 3 and 4, but most importantly AKR1C3.…”
Section: Resultsmentioning
confidence: 99%
“…In a previous study, Mayr et al described the general suitability of various natural chalcones as potential AKR1C3 inhibitors [ 39 ]. In this work, 11 closely related natural products with a dihydrochalcone or chalcone skeleton were submitted to enzyme inhibition assays on 17β-hydroxysteroid dehydrogenases 3 and 4, but most importantly AKR1C3.…”
Section: Resultsmentioning
confidence: 99%
“…We investigated synthetic and semi-synthetic derivatives of MF-15, a benzylated dihydrochalcone isolated from Melodorum fruticosum leaves, in an in silico profiling approach and discovered several distinct bioactivities on individual protein targets. One or a combination of these activities lead to in vitro anti-proliferative activity on different cancer cell lines, previously published in 1 and 2 .…”
mentioning
confidence: 97%