2022
DOI: 10.56899/151.05.20
|View full text |Cite
|
Sign up to set email alerts
|

Screening Rafflesia and Sapria Metabolites Using a Bioinformatics Approach to Assess Their Potential as Drugs

Abstract: The Rafflesiaceae family consists of three genera of parasitic plants – Rafflesia, Rhizanthes, and Sapria – with purported ethnobotanical and ethnomedicinal properties. In this study, the inhibitory properties of 21 characterized metabolites associated with Rafflesia and Sapria were tested against eight proteins linked to human diseases – including seven pathogenic-associated HMGCR, VEGFR2, acetylcholinesterase, NMT, H1N1 neuraminidase, GSK3-β, and estrogen receptor α, and one plant-pathogenic associated Colle… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 43 publications
0
2
0
Order By: Relevance
“…A Pa value above 0.3 indicated that the compound had potential as an in silico antimalarial agent. 13…”
Section: Antimalarial Activity Predictionmentioning
confidence: 99%
“…A Pa value above 0.3 indicated that the compound had potential as an in silico antimalarial agent. 13…”
Section: Antimalarial Activity Predictionmentioning
confidence: 99%
“…The ligands and standard were retrieved in SMILES (simplified molecular input line entry system) format for QSAR and ADME-Tox analysis, and .sdf format for molecular docking and molecular dynamics simulation (Aurora et al 2022). Their energy was minimized prior to docking and converted to .pdbqt format using OpenBabel wizard in PyRx (Wicaksono et al 2022).…”
Section: Structure Retrieval and Preparationmentioning
confidence: 99%