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Advances in Applied Research
Year : 2011, Volume : 3, Issue : 1
First page : ( 26) Last page : ( 30)
Print ISSN : 0974-3839.

In silico prediction of Biological activities of Phytochemicals from the rhizome of Curcuma aromatica Salisb.

Revathi S*, Malathy N.S.1

1Associate Professor, Department of Botany, P.S.G.R. Krishnammal College for women, Coimbatore-641 004, TamilNadu, India

*Corresponding author: Email: revashi02@gmail.com

Online published on 7 April, 2014.

Abstract

Antibacterial activity of the rhizome of Curcuma aromatica solvent extracts such as hexane, chloroform and methanol were screened by antibacterial assay. The hexane fraction showing antibacterial activity was analyzed using GC-MS. The study revealed nearly 13 compounds whose structures were drawn using Chemsketch and were subjected for in silico biological activity prediction using PASS (Prediction of Activity Spectra for Substances). Antimicrobial, anti-inflammatory and antitumour properties were predicted using PASS. Out of the 13 compounds, 11 were predicted to have antifungal, 8 have antibacterial, 7 have antiacne, 5 have wound healing property, 3 have anti-inflammatory and 2 have antitumour activities.

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Keywords

Curcuma aromatica, GC-MS, Phytochemicals, PASS, Biological activity.

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