EXPLORATION OF PLANT BIOACTIVE FROM CASSIA FISTULA LEAVES FOR THE TREATMENT OF OVARIAN CANCER: AN INTEGRATIVE APPROACH

Kanika Verma; SHANTHI VEERAPPAPILLAI; RAMANATHAN KARUPPASAMY

doi:10.22159/ajpcr.2016.v9i5.13187

Authors

Kanika Verma VIT University
SHANTHI VEERAPPAPILLAI VIT University
RAMANATHAN KARUPPASAMY VIT University

DOI:

https://doi.org/10.22159/ajpcr.2016.v9i5.13187

Abstract

Objective: Paclitaxel is one of the most effective anticancer agents. It is used as a chemotherapy agent for a spectrum of cancer types. However,
paclitaxel resistance is one of the foremost problems for chemotherapy. Most importantly, an emergence of paclitaxel resistance due to mutation
(F270V) in Î²-tubulin has been extremely deliberated in recent years. With the rise of paclitaxel-resistant mutation in Î²-tubulin, there is a need to add
a novel inhibitor from natural source, as they have less chance of getting resistance additionally less side effects. Keeping this in mind, we have utilized
experimental and in silico approaches to isolate the potent inhibitor for Î²-tubulin target protein.

Methods: We have extracted phytocompounds from Cassia fistula plant, and the structures were recognized with the help of gas chromatographymass
spectrometry technique. Subsequently, oral bioavailability and toxicity analysis were executed for the extracted compounds by employing
MOLINSPIRATION and OSIRIS program, respectively. Furthermore, docking analysis was performed using YASARA algorithm. In addition, bioactivity
analysis for the screened compounds was performed using prediction of activity spectra for substances program.

Results: The results from our analysis clearly depict that HOP-22(29)-EN-3.BETA.-OL could be a promising inhibitor for the treatment of cancer and
provide direction for future research. Further in vitro and in vivo exploration is also required to identify whether HOP-22(29)-EN-3.BETA.-OL have
anticancer effect or not.

Conclusion: The combination of computational approach and experimentalanalysis provides an easy approach to identify novel candidate for the target protein Î²-tubulin.

Keywords: Phytochemicals, Gas chromatography mass spectrometry, Bioavailability, Molecular docking, Prediction of activity spectra for substances
prediction.

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Author Biographies

Kanika Verma, VIT University

Depatment of Biotechnology

SHANTHI VEERAPPAPILLAI, VIT University

Department of Biotechnology, Associate Professor

RAMANATHAN KARUPPASAMY, VIT University

Department of Biotechnology, Associate Professor

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