Development of Anti-Inflammatory Drug from Crataeva Nurvala : In Silico and In Vitro Approach
, a medicinal plant with potential therapeutic properties, offers a promising avenue for the development of novel anti-inflammatory drugs. This study adopted a combined in silico and approach to investigate the anti-inflammatory potential of compounds derived from . In the phase, virtual screening a...
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Veröffentlicht in: | Journal of pharmacy & bioallied science 2024-04, Vol.16 (Suppl 2), p.S1308-S1311 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
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Zusammenfassung: | , a medicinal plant with potential therapeutic properties, offers a promising avenue for the development of novel anti-inflammatory drugs. This study adopted a combined in silico and
approach to investigate the anti-inflammatory potential of compounds derived from
.
In the
phase, virtual screening and molecular docking analyses were conducted to identify bioactive compounds from
that could interact with key inflammatory targets. Subsequently, selected compounds were synthesized and subjected to
experimentation. Cellular models were employed to assess the anti-inflammatory effects of
-derived compounds, focusing on the modulation of pro-inflammatory cytokine levels and the underlying signaling pathways.
Virtual screening and molecular docking led to the identification of several bioactive compounds with favorable interactions with inflammatory targets. In the
experiments, treatment with
-derived compounds resulted in a significant reduction in pro-inflammatory cytokine production. Moreover, the compounds exhibited the ability to modulate inflammatory signaling pathways, further substantiating their anti-inflammatory potential.
This study not only contributes to the development of effective anti-inflammatory drugs but also underscores the value of harnessing natural sources such as
for therapeutic interventions in inflammatory disorders. The dual-phase strategy presented here provides a robust framework for anti-inflammatory drug discovery and validation. |
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ISSN: | 0976-4879 0975-7406 |
DOI: | 10.4103/jpbs.jpbs_594_23 |