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

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  1. 1Department of Botany, Kongunadu Arts and Science College (Autonomous), Coimbatore, Tamil Nadu, INDIA.

CORRESPONDENCE

S. Vimal Priya

Department of Botany, Kongunadu Arts and Science College (Autonomous), Coimbatore, Tamil Nadu, INDIA.

svimalpriya_phd@kongunaducollege.ac.in

Received: 14-09-2024; Revised: 10-10-2024; Accepted: 12-11-2024.

Volume 13, Issue 3 · pp. 807-812 · 2024 · DOI: 10.5530/ajbls.2024.13.97

ABSTRACT

Introduction: Traditional herbal medicine endures the cornerstone of healthcare across many Asian and African nations, with folk remedies playing an increasingly crucial role, especially in regions with limited medical access. However, lacking scientific validation for medicinal plants may carry significant risks. Within the southern Western Ghats of Tamil Nadu, Vincetoxicum subramanii has been traditionally used to treat diverse health conditions. This study 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 of V. subramanii were 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 PASS prediction 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 that V. subramanii has the potential anesthetic effect and could be applicable in treating phobic syndromes.Conclusion: This study underlines that the stem 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.

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    Priya, S. V., Karthika, K., Akbar, S. S. A., Kumar, R. A., & Athira, P. (2024). GC-MS Profiling and in silico Pass Prediction of Phytoconstituents Present in Ethanolic Stem Extract of Medicinally Important Plant Vincetoxicum subramanii. Asian Journal of Biological and Life Sciences, 13(3), 807-812. https://doi.org/10.5530/ajbls.2024.13.97

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    © 2024 Author(s)

    This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited. CC BY 4.0