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A database for the predicted pharmacophoric features of medicinal compounds
Authors:Daisy Pitchai  Singh Sanjeev Kumar  Vijayalakshmi Periyasamy  Selvaraj Chandrabose  Rajalakshmi Manikkam  Suveena Sukumaran
Institution:1Bioinformatics centre (BIF), PG, Research Department of Biotechnology & Bioinformatics, Holy Cross College (Autonomous), Tiruchirapalli-620002, Tamilnadu, India;2Computer Aided Drug Design and Molecular Modeling Laboratory, Department of Bioinformatics, Alagappa University, Karaikudi-630003, Tamilnadu, India
Abstract:Pharmacophore feature is defined by a set of chemical structure patterns having the active site of drug like molecule. Pharmacophore can be used to assist in building hypothesis about desirable chemical properties in drug molecule and hence it can be used to refine and modify drug candidates. We predicted the pharmacophoric features of 150 medicinal compounds from plants for anti-cancer, anti-carcinogenic, anti-diabetic, anti-microbial, and anti-oxidant. Estimation of pharmacophoric feature is necessary to ensure the optimal supramolecular interaction with a biological target and to trigger or block its biological response. We subsequently make this data available to open access using a database at the URL: http://www.hccbif.info/index.htm AVAILABILITY: The database is available for free at http://www.hccbif.info/index.htm.
Keywords:Anti Diabetic  Anti Cancer  Anti Microbial  Pharmacophoric features  Phase
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