2022
DOI: 10.1080/07853890.2022.2034931
|View full text |Cite
|
Sign up to set email alerts
|

The mechanism of triptolide in the treatment of connective tissue disease-related interstitial lung disease based on network pharmacology and molecular docking

Abstract: Background Interstitial lung disease (ILD) is associated with substantial morbidity and mortality, which is one of the key systematic manifestations of connective tissue disease (CTD). Tripterygium wilfordii, known as Leigongteng in Chinese, has been applied to treat connective tissue disease-related interstitial lung disease (CTD-ILD) for many years. Triptolide is a key effective component from Tripterygium wilfordii. But the molecular mechanism of Triptolide for treating CTD-ILD is not yet clear… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
24
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 44 publications
(24 citation statements)
references
References 53 publications
(56 reference statements)
0
24
0
Order By: Relevance
“…A binding energy of <−5 kcal/mol is generally considered indicative of good binding activity and affinity. [31,32] Our molecular docking results reveal that the compounds we screened have high affinity with the core target, as their binding energies are all <−5 kcal/mol. The specific docking energies can be found in Table 2.…”
Section: Resultsmentioning
confidence: 97%
“…A binding energy of <−5 kcal/mol is generally considered indicative of good binding activity and affinity. [31,32] Our molecular docking results reveal that the compounds we screened have high affinity with the core target, as their binding energies are all <−5 kcal/mol. The specific docking energies can be found in Table 2.…”
Section: Resultsmentioning
confidence: 97%
“…Molecular docking ( 57 ) was performed to assess the affinity of interaction between compounds identified from CAEs and the IcaA, AgrA, RNAIII, SarA, LuxS, FnbA, FnbB, ClfA, ClfB, EbpS, CidA, LrgA, SspA, Psm, AtlA, Hld, Vwb, and Coa proteins. Crystallographic structures of the selected proteins were downloaded from RCSB Protein Data Bank ( https://www.rcsb.org/ ) with their native ligands.…”
Section: Methodsmentioning
confidence: 99%
“…The Canonical Smiles of active ingredient were entered into the SwissTargetPrediction database (http://www.swisstargetprediction. ch/), and the species was defined as "homo sapiens", followed by a probability > 0 screening (Zhu et al, 2022). It was merged with the predicted targets of the TCMSP database corrected by the UniProt database (https://www.uniprot.org), and the target genes of the MFO's active components were obtained after deduplication.…”
Section: Prediction Of the Active Ingredient Target Of Mfomentioning
confidence: 99%