Network pharmacology-based identification of potential drug targets and bioactive compounds in Lycii Fructus (Gouqizi) for the therapeutics of Parkinson’s disease

RMSD analysis of the top docked complexes showed that AKT1 - 24-ethylcholesta-5,22-dienol and MAOB-24-ethylcsecrholesta-5,22-dienol remained stable, whereas 4alpha-methyl-24-ethylcholesta-7,24-dienol exhibited fluctuations with TNF over 100 nanoseconds. These findings indicate that <i>Lycii Fructus</i> extracted compounds have high potential for targeting PD targets; further <i>in vitro</i> and <i>in vivo</i> experiments are necessary to assess their effectiveness in managing PD progression.

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Publication Details

Journal
Frontiers in Pharmacology
Published
2026-01-12
DOI
https://doi.org/10.3389/fphar.2025.1714071
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
45.17

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article

Network pharmacology-based identification of potential drug targets and bioactive compounds in Lycii Fructus (Gouqizi) for the therapeutics of Parkinson’s disease

Rana Adnan Tahir, Sheikh Arslan Sehgal, Sufana Al Hashmi
1 citations
Frontiers in Pharmacology
Computational Drug Discovery Methods
45.17
article

Network pharmacology-based identification of potential drug targets and bioactive compounds in Lycii Fructus (Gouqizi) for the therapeutics of Parkinson’s disease

Rana Adnan Tahir, Sheikh Arslan Sehgal, Sufana Al Hashmi
article en
1 citations

Abstract

RMSD analysis of the top docked complexes showed that AKT1 - 24-ethylcholesta-5,22-dienol and MAOB-24-ethylcsecrholesta-5,22-dienol remained stable, whereas 4alpha-methyl-24-ethylcholesta-7,24-dienol exhibited fluctuations with TNF over 100 nanoseconds. These findings indicate that <i>Lycii Fructus</i> extracted compounds have high potential for targeting PD targets; further <i>in vitro</i> and <i>in vivo</i> experiments are necessary to assess their effectiveness in managing PD progression.

Frontiers in PharmacologyVol. 16
Sultan Qaboos University (OM), University of Veterinary and Animal Sciences (PK)
Sultan Qaboos University
Good health and well-being
Openalex Percentile: Top 1%
Computational Drug Discovery Methods
45.17
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