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.pdf
Download PDF
https://doi.org/10.31032/IJBPAS/2024/13.11.8381