COMPUTATIONAL STUDIES OF PURINE DERIVATIVE USING MULTIFORMS OF HUMAN POLYPEPTIDES 1 AS TARGET ENZYME FOR ANTICANCER AGENTS

  • Marina Juliet A Professor and Head Department of Pharmaceutical Chemistry School of Pharmaceutical sciences Vels University Chennai 600 117
  • Hemalatha Cn
  • Vijey Aanandhi M

Abstract

 

 Objective: This research was conducted to prove and estimate the activity of the newly designed compound by applying quantitative structure–activity relationship (QSAR) study using Vlife molecular design suite (MDS) 2 software on various purine derivatives. These novels scaffolds/candidates, which could have the potential to inhibit 5FSO would represent promising starting points as lead compounds and certainly aid the experimental designing of anticancer drugs.

Materials and Methods: Purine derivatives are studied and based on the QSAR study new structures are drawn and predicted the biological activity using the Vlife MDS Software-Module Name: QSAR Plus. Auto dock 1.2.6 software is a suite of automated docking tools. It is designed to predict how small molecules, such a substrate or drug candidates, bind to receptors of the known 3D structure. 5FSO protein preparation and optimization, ligand preparation and optimization, and docking simulations were carried out by using biological databases such as PubChem, Drug Bank, Protein Data Bank.

Results: To estimate the activity, computational studies had been applied. In addition, the newly designed compound can be used as a scaffold to design more purine compounds which may be a potent inhibitor of 5FSO protein.

Conclusion: The results depict as the newly designed molecules has better binding energy than standard drug and these compounds may possess better anticancer activity.

Keywords: Anticancer, Purine derivative, Multiforms of human polypeptides 1, NUDT 1, Quantitative structure–activity relationship.

Author Biography

Marina Juliet A, Professor and Head Department of Pharmaceutical Chemistry School of Pharmaceutical sciences Vels University Chennai 600 117

Professor
Department of Pharmaceutical Chemistry

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A, M. J., H. Cn, and V. A. M. “COMPUTATIONAL STUDIES OF PURINE DERIVATIVE USING MULTIFORMS OF HUMAN POLYPEPTIDES 1 AS TARGET ENZYME FOR ANTICANCER AGENTS”. Asian Journal of Pharmaceutical and Clinical Research, Vol. 10, no. 9, Sept. 2017, pp. 292-6, doi:10.22159/ajpcr.2017.v10i9.19340.
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