Volume: 45 Issue: 1
Biological activity spectra of the main phytochemicals of Silybum marianum L. Gaertn. by in silico study
Year: 2023, Page: 38-45, Doi: https://doi.org/10.62029/jmaps.v45i1.ranjini
Received: March 17, 2023 Accepted: May 1, 2023 Published: Oct. 27, 2023
The main objective of bioinformatics is to augment the perception of biological data. Bioinformatics gains information from computer analysis of biological practices. Biologically active principles have both pharmaceutical and adverse effects on the organisms. PASS (Prediction of Activity Spectra for Substances) software is used to estimate the general efficacy and safety of the phytochemicals. PASS simultaneously predicts several hundreds of biological activities of natural and synthetic chemical compounds. The average precision of prediction is about 90%. The extract from the seed of Silybum marianum contains silymarin, which is a complex mixture of polyphenolic molecules, including seven closely related flavonolignans, namely, silybin A, silybin B, isosilybin A, isosilybin B, silychristin, isosilychristin, silydianin and one flavonoid namely taxifolin. Silymarin has been used to treat various hepatic diseases, including chronic and acute liver diseases in canines and felines. It is used as a nutritional supplement to treat liver diseases and toxicities and prevent certain cancers in companion animals. In the present study, the main phytochemicals reported from Silybum marianum L. Gaertn. were subjected to in-silico evaluation using PASS software. The methods, biological activity spectra and significance of the in-silico study are discussed.
Keywords: Efficacy, In Silico, PASS, Phytochemicals, Silybum marianum, Toxicity
Anestis K, Bilalis D, Efthimiadou A. 2011. Cultivation of milk thistle (Silybum marianum L. Gaertn.), a medicinal weed. Ind Crop Prod 34: Nr. 1: 825 –830.
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.
Evans WC 2005, Pharmacognosy, Elsevier Publications, New Delhi, p.49.
Hogan FS, Krishnegowda NK, Mikhailova M, Kahlenberg MS. 2007. Flavonoid, silibinin inhibits proliferation and promotes cell-cycle arrest of human colon cancer. J Surg Res 143: 58–65.
Gazak R, Walterova D, Kren V. 2007. Silybin and Silymarin - New and emerging applications in medicine. Curr Med Chem 14: 315–338.
Karimi G, Vahabzadeh M, Lari P, Rashedinia M, Moshiri M. 2011. Silymarin, a promising pharmacological agent for treatment of diseases. Iran J Basic Med Sci 4: 308–317.
Kroll DJ, Shaw HS, Oberlies NH. 2007. Milk thistle nomenclature: Why it matters in cancer research and pharmacokinetic studies? Integr Cancer Therapies 6: 110– 119.
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. J Pharmacol Pharma 252-253.
Poroikov VV, Filimonov DA. 2002. How to acquire new biological activities in old compounds by computer prediction? J Comput Aid Molec Res 16: 819-824.
Ramakrishnan G, Elinos - Baez C M, Jagan S, Augustine TA, Kamaraj S. 2009. Silymarin inhibited proliferation and induced apoptosis in hepatic cancer cells. Cell Prolif 42: 229–240.
Sadym A, Lagunin A, Poroikov VV, Filimonov DA. 2003. Prediction of Biological Activity Spectra via Internet. SAR and QSAR in Environ Res 14: 339-347.
Veprikova Z, Zachariasova M, Dzuman Z, Zachariasova A, Fenclova M, Slavikova P, Vaclavikova M, Mastovska K, Hengst D, Hajslova J. 2015. Mycotoxins in plant-based dietary supplements: Hidden health risk for consumers. J Agric Food Chem 63: 633–43.
WenWu J, Lin L, Tsai T. 2009, Drug-drug interactions of silymarin on the perspective of pharmacokinetics. J Ethnopharmacol 121: 185–193.
© CSIR-Central Institute of Medicinal and Aromatic Plants, Lucknow-226015
Ranjini R.2023. Biological activity spectra of the main phytochemicals of Silybum marianum L. Gaertn. by in silico study. J Med Aromat Plant Sci 45: 38-45.