Evaluating the Anti-Cancer Efficacy of Ethanolic Extract of Erythrina variegate Linn. – An In-silico Approach

Jump To References Section

Authors

  • G. Umarani
     Department of Biochemistry, Rajah Serfoji Government College (Affiliated to Bharathidasan University, Tiruchirapalli), Thanjavur – 613006, Tamil Nadu ,IN
  • S. Nethaji
     Research Department of Biochemistry, Maruthu Pandiyar College of Arts and Science (Affiliated to Bharathidasan University, Tiruchirapalli), Thanjavur – 613403, Tamil Nadu ,IN

DOI:

https://doi.org/10.18311/jnr/2021/26223

Keywords:

Ethanolic Extract, Erythrina variegata Linn., Molecular Docking, GCMS

Abstract

Colorectal cancer is one of the deadly diseases and is ranked as third for men and second for women amongst all cancers in the world. Due to 6,08,000 deaths, it ranks as the fourth common cause of death due to cancer (WHO, 2018). The "ethnomedicinal studies” of the therapeutic values of plants evolves a systematic scientific evaluation. In the present study, the lead compounds hit on the GCMS analysis of the ethanolic extract of Erythrina variegata L. Leaf. The extract was studied for its anticancer potential in Insilco molecular docking. The results revealed that the 3-eicosyne have strong binding energies against the colorectal cancer mutated oncogene KRAS G12D and tumour suppressor gene p53 R249S in comparison to other compounds. Finally, it is confirmed that the active pharmaceutical ingredients have potent anti-Cancer activity and have great efficacy against the colorectal adenocarcinoma oncogenes and tumour suppressor regulating genes.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Downloads

Published

2021-02-26

How to Cite

Umarani, G., & Nethaji, S. (2021). Evaluating the Anti-Cancer Efficacy of Ethanolic Extract of <i>Erythrina variegate</i> Linn. – An In-silico Approach. Journal of Natural Remedies, 21(1), 45–49. https://doi.org/10.18311/jnr/2021/26223

Issue

Volume 21, Issue 1, January 2021

Section

Research Articles
Crossref
Scopus
Google Scholar
Europe PMC
Received 2020-10-09
Accepted 2020-12-02
Published 2021-02-26

 

References

Jemal A, Siegel R, Ward E, Murray T, Xu J, Thun MJ. Cancer statistics, 2007. CA: A Cancer J Clin. 2007; 57(1):43–66. https://doi.org/10.3322/canjclin.57.1.43. PMid:17237035

Bray F, Moller B. Predicting the future burden of cancer. Nat Rev Cancer. 2006; 6(1):63–74. https://doi. org/10.1038/nrc1781. PMid:16372017

Sen U, Sankaranarayanan R, Mandal S, Ramanakumar AV, Parkin DM, Siddiqi M. Cancer patterns in eastern India: The first report of the Kolkata cancer registry. Int J Cancer. 2002; 100(1):86–91. https://doi. org/10.1002/ijc.10446. PMid:12115592

Jahan R, Hossain S, Seraj S, Nasrin D, Khatun Z, Ranidas P, et al., Centella asiatica (L.) Urb.: Ethnomedicinal uses and their scientific validations. Am Eur J Sustain Agric. 2012; 6:261–70.

Amri E. The role of selected plant families with dietary ethnomedical species used as anticancer. J Med Plants Stud. 2014; 2:28–39.

Martins J, Brijesh S. Anti-depressant activity of Erythrina variegata bark extract and regulation of monoamine oxidase activities in mice. J Ethnophar macol. 2019; 248. https://doi.org/10.1016/j.jep.2019. 112280. PMid:31600560

Kapetanovic IM. Computer-Aided Drug Discovery and Development(CADDD): In silico-chemicobiological approach. Chem Biol Interact. 2008; 171(2):165–176. https://doi.org/10.1016/j.cbi.2006.12 .006. PMid:17229415 PMCid:PMC2253724

Purushothaman B, Suganthi N, Jothi A, Shanmugam K. Molecular docking studies of potential anticancer agents from Ocimum basilicum L. against human colorectal cancer regulating genes: An insilico approach. Research J. Pharm. and Tech. 2019; 12(7): 3423–7. https://doi.org/10.5958/0974-360X.2019.00579.1

Bruni R, Bellardi MG, Parrella G. Change in chemical composition of sweet basil (Ocimum basilicum L.) essential oil caused by alfalfa mosaic virus. Journal of Phytopathology. 2015; 164(3): 202– 6. https://doi.org/10.1111/jph.12410

Morris GM, Goodsell DS, Halliday RS, Huey R, Hart WE, Belew RK, et al. Automated docking using a lamarckian genetic algorithm and empirical binding free energy function. J. Comput. Chem. 1998; 19:1639–62. https://doi.org/10.1002/(SICI)1096-987 X(19981115)19:14<1639::AID-JCC10>3.0.CO;2-B