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Database on pharmacophore analysis of active principles, from medicinal plants


Daisy Pitchai*, Rajalakshmi Manikkam, Sasikala R. Rajendran, Gnanamani Pitchai


Bioinformatics centre (BIF), PG, Research Department of Biotechnology, Bioinformatics,Holy Cross College(Autonomous), Teppakulam, Tiruchirapalli-620002, Tamilnadu, India

E-mail*; * Corresponding author



0431 2713312

Article Type






Received January 20, 2010; revised April 7, 2010; accepted June 8, 2010; published July 6, 2010



Plants continue to be a major source of medicines, as they have been throughout human history. In the present days, drug discovery from plants involves a multidisciplinary approach combining ethnobotanical, phytochemical and biological techniques to provide us new chemical compounds (lead molecules) for the development of drugs against various pharmacological targets, including cancer, diabetes and its secondary complications. In view of this need in current drug discovery from medicinal plants, here we describe another web database containing the information of pharmacophore analysis of active principles possessing antidiabetic, antimicrobial, anticancerous and antioxidant properties from medicinal plants. The database provides the botanical, taxonomic classification, biochemical as well as pharmacological properties of medicinal plants. Data on antidiabetic, antimicrobial, anti oxidative, anti tumor and anti inflammatory compounds, and their physicochemical properties, SMILES Notation, Lipinskiís properties are included in our database. One of the proposed features in the database is the predicted ADMET values and the interaction of bioactive compounds to the target protein. The database alphabetically lists the compound name and also provides tabs separating for anti microbial, antitumor, antidiabetic, and antioxidative compounds.







medicinal plants database; anti-diabetic compounds; antioxidant compounds; antimicrobial compounds; anticarcinogenic compounds; ADMET properties: pharmacophore analysis




Pitchai et al. Bioinformation 5(2) 43-45 (2010)

Edited by


P. Kangueane








Biomedical Informatics




This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.