N-SILICO PREDICTION APPROACH ON ANTIASTHMATIC ACTIVITY OF VOLATILE OIL ISOLATED FROM MILLINGTONIA HORTENSIS LINN. FLOWERS Authors: V.E.Ida Christi , ARUNKUMAR V, DIVYA K, GAYATHRI S AND MANISELVI S
ABSTRACT
Millingtonia hortensis belongs to the family Bignoniaceae is a native of Asian continent. It is widely utilized
in traditional medicine and their extracts contain a high concentration of flavonoids. The aim of the present
study was to isolate and characterize the volatile oil from Millingtonia hortensis Linn. flower and study its
various biological activities by in-silico model. The isolation of volatile oil was performed by hydro
distillation and solvent extraction methods. The various phytoconstituents present in the volatile oil were
identified by preliminary phytochemical analysis and then by Gas chromatography–mass spectrometry
(GC-MS) method. Identification of pharmacological activity of the photochemical present in the volatile
oil was performed by in-silico methods. In the initial phytochemical analysis, the presence of steroids and
terpenoids was confirmed. The compounds present in the volatile oil was isolated by GC-MS and analyzed.
There are about 37 compounds were characterized. Based on the peak of the phytomolecules in the GC-MS
analysis was selected for an in-silico study to identify their pharmacological activity. The in-silico study
was based on the affinity of molecules towards the protein and with this method eight compounds were
identified with significant pharmacological activity. Our findings confirmed that the volatile oil isolated
from Millingtonia hortensis Linn. flower contains phytomolecules have pharmacologically active like anti
tubercular and antiasthmatic activity which may have therapeutic applications in the near future.
Keywords: Millingtonia hortensis, Volatile oil, GC-MS, In silico, Antiasthmatic Publication date: 01/11/2024 https://ijbpas.com/pdf/2024/November/MS_IJBPAS_2024_8381.pdfDownload PDFhttps://doi.org/10.31032/IJBPAS/2024/13.11.8381