Volume: 38 Issue: 3
Prediction of Biological Activity Spectra of Alpinia Phytochemicals by an In Silicon Study
Year: 2016, Page: 62-70, Doi: https://doi.org/10.62029/jmaps.v38i3.Selvakumari
Received: May 16, 2015 Accepted: Jan. 18, 2016 Published: Dec. 31, 2016
Bioinformatics derives knowledge from computer analysis of biological data. Biologically active compounds have both pharmaceutical and toxic effect in the organisms. PASS software is used to estimate general efficacy and safety of the molecules. PASS simultaneously predicts several hundreds of biological activities of chemical compounds. In the present study phytochemicals reported from two species of Alpinia were subjected to in silicon evaluation using PASS software. The average accuracy of prediction is about 80%. The methods, results and significance of this in silicon study is discussed.
Keywords: Activity Spectra, Alpinia, Efficacy, In silicon study, PASS, Phytochemicals
Anjali S, Barnickel G, Cezanne B, Krug M, Poroikov VV. 2001. Discriminating between drugs and non drugs by Prediction of Activity Spectra for Substances. J Med Chem 44: 432- 437.
Chadha YR. 1985. The Wealth of India Vol. I Publications and Information Directorate, CSIR, New Delhi pp.195 – 198.
Lagunin AA, Gomazkov OA, Filimnov DA, Gureeva TA, Dilakyan EA, Kungaevskaya EV, Solovyeva NI. 2003. Computer aided selection of potential antihypertensive compounds with dual mechanisms of action. J Med Chem 46: 326-332.
Parasuraman S. 2011. Prediction of activity spectra of substances, Journal of Pharmacology ant Pharmacotherapeutics 2: 52–53.
Poroikov VV, Filimonov D. A 2002. How to acquire new biological activities in old compounds by computer prediction? J Comp Aid Molec Res 16: 819-824.
Sadym A, Lagunin A, Poroikov VV, Filimonov DA. 2003. Prediction of Biological Activity Spectra via Internet, SAR QSAR Env Res 14: 339-347.
Wallis TE. 1997. Pharmacognosy, Fifth Edition, CBS Publishers, New Delhi.
© Central Institute of Medicinal and Aromatic Plants (CSIR-CIMAP), Lucknow (India)
P Annie Sulochana Selvakumari. 2016. Prediction of Biological Activity Spectra of Alpinia Phytochemicals by an In Silicon Study. J Med Aromat Plant Sci 38: 62-70.
