GC-MS Profiling and in silico Pass Prediction of Phytoconstituents Present in Ethanolic Stem Extract of Medicinally Important Plant Vincetoxicum subramanii

ABSTRACT

Introduction: Traditional herbal medicine endures the cornerstone of healthcare across many Asian and Africannations, withfolk remedies playing an increasingly crucial role, especially in regions with limited medical access.However, lacking scientific validationfor medicinal plants may carry significant risks. Within the southern WesternGhats of Tamil Nadu, Vincetoxicum subramanii has been traditionally used to treat diverse health conditions. Thisstudy aims to analyze the phytochemical composition of V.subramanii stem ethanolic extract using GC-MS andassess its impending therapeuticprospects through in silico predictions. Materials and Methods: The stemportions ofV. subramaniiwere extracted with ethanol, and the active chemical entities were ascertained via GC-MS study. The identified constituents were parallelled and examined for their biological activity using the PASSprediction method. Result: A total of 4 phytochemical constituents were detected through GC-MS analysis of V.subramanii stem ethanolic extract. The in silico predictions indicated thatV. subramaniihas the potentialanesthetic effect and couldbe applicable in treating phobic syndromes. Conclusion: This study underlines that thestem ethanolic extract of V. subramanii contains subtle phytoconstituents with capable biological activities.Further research is warranted to explore its pharmaceutical standpoints and drug development applications. Anesthetic Antiarrhythmic Antiseborrheic GC-MS Pass prediction V. subramanii

KEYWORDS

• Anesthetic
• Antiarrhythmic
• Antiseborrheic
• GC-MS
• Pass prediction
• V. subramanii

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• DOI10.5530/ajbls.2024.13.97Copy

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