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Computational modeling and study of the anti-cancer activity of novel NSAID 1-acyl-4-cycloalkyl/arylsemicarbazide and 1-acyl-5-benzyloxy/hydroxy carbamoylcarbazide derivatives using molecular docking and molecular dynamics simulations

  • Maryam Tadayon
  • Zahra Garkani-NejadEmail author
Original Research
  • 19 Downloads

Abstract

In this study, a series of NSAID 1-acyl-4-cycloalkyl/arylsemicarbazides and 1-acyl-5-benzyloxy/hydroxy carbamoylcarbazides possess anti-cancer activity against three human cancer cell lines L1210, CEM, and HeLa have been investigated using a combined approach including quantitative structure activity relationship (QSAR) study, molecular docking, and molecular dynamics (MD) simulations. First, different molecular descriptors were calculated for these compounds. Stepwise multiple linear regression (MLR) method was performed for selecting some common descriptors, including VEA1, hydration energy (HE), log P, and binding energy for all three cell lines. Then, other QSAR models were constructed using support vector regression (SVR) method. According to the results, SVR models were more efficient in predicting the anti-cancer activity. To better understand the mechanism of the binding interactions of NSAID 1-acyl-4-cycloalkyl/arylsemicarbazide and 1-acyl-5-benzyloxy/hydroxy carbamoylcarbazide derivatives with 5-lipoxygenase (5-LOX) protein, molecular docking studies were conducted. These studies have also been used to explore the effects of HE, log P, and binding energy on anti-cancer activity of the studied compounds. The results of molecular docking suggest that hydrophobic interactions of ligands with the active site of 5-LOX are responsible for their anti-cancer activities. Finally, molecular dynamics (MD) simulations using GROMACS package were used for evaluating the stability of 5-LOX in complex with NSAID 1-acyl-4-cycloalkyl/arylsemicarbazide and 1-acyl-5-benzyloxy/hydroxy carbamoylcarbazide derivatives. The results of MD simulations demonstrate stability of protein structure in complex with active compounds, 12 and 27.

Keywords

Quantitative structure activity relationship (QSAR) Molecular docking Molecular dynamics (MD) simulations Nonsteroidal anti-inflammatory drug (NSAID) Lipoxygenase Semicarbazide 

Notes

Acknowledgements

Shahid Bahonar University of Kerman is acknowledged by the authors.

Compliance with ethical standards

Conflict of interest

The authors declare that there are no conflicts of interest.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Chemistry Department, Faculty of ScienceShahid Bahonar University of KermanKermanIran
  2. 2.Young Researchers SocietyShahid Bahonar University of KermanKermanIran

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