2023
DOI: 10.1097/md.0000000000034683
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Molecular mechanism of the effect of Gegen Qinlian decoction on COVID-19 comorbid with diabetes mellitus based on network pharmacology and molecular docking: A review

Lin-zi Li,
Cong Zhou,
Pei Wang
et al.

Abstract: To explore the potential mechanism of Gegen Qinlian decoction (GGQL) in the treatment of COVID-19 comorbid with diabetes mellitus (DM) through network pharmacology and molecular docking, and to provide theoretical guidance for clinical transformation research. Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform was used to screen the active compounds and targets of GGQL, the targets of COVID-19 comorbid with DM were searched based on Genecards database. Protein-protein interaction … Show more

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Cited by 2 publications
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“…In general, it is thought that a docking score of 0 kcal/mol or less suggests that the component and the target can interact spontaneously, a value of − 4.0 kcal/mol or less shows good docking affinity, a value of − 7.0 kcal/mol or less shows strong docking affinity, and the smaller the value, the higher the binding activity 49 51 . The docking targets with the 8 active components with the highest degree of Quercetin, Kaempferol, Luteolin, β-Sitosterol, Wogonin, Stigmasterol, Caffeic Acid, Isorhamnetin, and the top 6 targets of degree are RELA, TP53, MAPK3, TNF, AKT1, and MAPK1 were used for molecular docking analysis.…”
Section: Resultsmentioning
confidence: 99%
“…In general, it is thought that a docking score of 0 kcal/mol or less suggests that the component and the target can interact spontaneously, a value of − 4.0 kcal/mol or less shows good docking affinity, a value of − 7.0 kcal/mol or less shows strong docking affinity, and the smaller the value, the higher the binding activity 49 51 . The docking targets with the 8 active components with the highest degree of Quercetin, Kaempferol, Luteolin, β-Sitosterol, Wogonin, Stigmasterol, Caffeic Acid, Isorhamnetin, and the top 6 targets of degree are RELA, TP53, MAPK3, TNF, AKT1, and MAPK1 were used for molecular docking analysis.…”
Section: Resultsmentioning
confidence: 99%