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Medicinal Chemistry Research

, Volume 23, Issue 4, pp 1690–1700 | Cite as

Multitargeted molecular docking study of plant-derived natural products on phosphoinositide-3 kinase pathway components

  • Pushpendra Singh
  • Felix Bast
Original Research

Abstract

Phosphoinositide-3 kinase (PI3K) signaling pathway comprises of a cornucopia of protein molecules capable of regulating numerous cellular events, including cell survival, cell cycle regulation, angiogenesis, and apoptosis. Deregulation of PI3K downstream signaling is a phenomenon commonly seen in various types of cancer and also held responsible for poor prognosis and resistance to chemotherapy. Targeting PI3K signaling pathway has become a new and promising strategy in combating cancer. In the present study, PI3K signaling components PI3K, PDK1, Akt, and mTOR were chosen and 51 natural compounds along with 17 reference compounds were selected as ligand with the aid of PubMed published literature search. Ligands were docked to protein molecules by using Maestro 9.3 (Schrödinger Inc.). It was discovered in this study that compounds myricetin, quercetin, morin, luteolin, and emodin yielded excellent dock score with the proteins concluded with the help of docking free energy. The remarkable feature of these compounds are their various pharmacodynamics and pharmacokinetic characteristics, many of which are in accordance with the “Lipinski’s Rule of five”. The docking study carried out is an endeavor to portray the docking of these compounds with the proteins, to summarize the various Gscore, hydrogen bond, electrostatic bond, and to chart out various factors that are decisive for and also govern the protein–ligand interactions.

Keywords

Cancer Phosphoinositide-3 kinase Natural product compounds Maestro 9.3 

Notes

Acknowledgments

We would like to thank Vice Chancellor, Central University of Punjab, Bathinda, Punjab, (India) for supporting this study with infrastructural requirements. This study was also supported by a Senior Research fellowship Grant-in-aid from Indian Council of Medical Research (ICMR), Government of India awarded to PS. We also thank executive director, Schrödinger, for providing Maestro 9.3 technical support that has tremendously helped in this study. We would like to thank Dr. Pawan Kumar Gupta and Dr. Bhupesh Goyal, Assistant Professors, Centre for Computational Sciences, School of Basic and Applied Sciences, Central University of Punjab, Bathinda, Punjab, (India) for their suggestions and comments that helped tremendously to improve this article.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Centre for Biosciences, School of Basic and Applied ScienceCentral University of PunjabBathindaIndia

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